2020 Global Top 100 Innovators in Data & Analytics

2020 Global Top 100 Innovators in Data & Analytics

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2020 Global Top 100 Innovators in Data & AnalyticsThe Most Innovative Minds in Corinium’s Global Network of Data and Analytics Leaders

Contents

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CEO and Founder, AI Truth

CDO, State of California

VP: Data, Seera Group

Global CDO, IBM

CDAO, Sainsbury’s

VP, Global Head, Health Economics and Outcomes Research, AbbVie

Data and Analytics Transformation Director, Danone

VP, AI and Chief Data Science Officer, Expedia Group

CDAO, Hilton

CDO, AP Moller - Maersk

Chief Data Officer - Integrated Supply and Trading, BP

VP – Data Management, HM Health Solutions

CDO, Bristol Myers Squibb

CDO, Choueiri Group

Senior Vice President Founding Chief Data Officer, M&T Bank

CDAO, AXA Equitable

CDO, NatWest

CDO, Services Australia

CIO PBBSA: Data, Analytics and AI, Standard Bank Group

CAO, Starbucks

Global Head of Digital Transformation and Enterprise Modernization, Amazon Web Services

Head of Analytics, British Airways

Chief Strategy and AI Officer, Levi Strauss & Co

Cortnie Abercrombie

Introduction

Joy Bonaguro

Louise Blake

Inderpal Bhandari

Linda Avery

Dr Christopher Boone

Camilla Bjorkqvist

Matthew Fryer

Dak Liyanearachchi

Micheline Casey

Gary Goldberg

Helen Hunter

Krishna Cheriath

Dr Youmna Borghol

Allison Sagraves

Joe Vellaiparambil

Elaine Priest

Dr Maria Milosavljevic

Lisel Engelbrecht

Jon Francis

Faraz Shafiq

Eleanor Armiger

Dr Katia Walsh

Click to navigate

Principal, Data Governance and Internal Policies, European Stability Mechanism

Dennis Kessler

12 CAO, Duke University Health SystemStephen Blackwelder

CDO, Prudential Financial


Senior Director of Industry Solutions, Bardess Group

Kjersten Moody

Morgan Templar

Paul Van Siclen

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CDO, Mastercard

Chief Research & Analytics Officer, CBS Corporation

Chief Data Scientist – Banking, Capital Markets and Advisory, Citi

SVP, Global Data Technology, Charles Schwab

CDO, Silicon Valley Bank

Dan Costanza

CDO, Bitly

CDAO, McDonald’s

JoAnn Stonier

Radha Subramanyam

Katie Meyers

Cara Dailey

Dr Amy Gershkoff Bolles

Ameet Shetty

16 Director of Advanced Analytics, Goldman Sachs

El Diawlol

19 SVP – Head of Analytics, Data Science and AI, Regions Bank

Lakshmanan Meyyappan

20 Data Strategy and Governance, FedEx Express

Associate Director, BCG Platinion

Head of National Data Strategy, Department for Digital, Culture, Media and Sport

Anwar Mirza

Tim Lum

Gaia Marcus

21 CAO, US BankSrini Nallasivan

22 CTO – Data:Lab, Volkswagen AG

Data Science and Analytics Director, EasyJet

Head of Data and Analytics Strategy Division, Bank of England

Dr Gabriele Compostella

Dr Ben Dias

Peter Eckley

24 CAO, FICOScott Zoldi

26 VP – Analytics, IDT CorporationCharles Thibault

29 VP of AI, RappiAlejandro Bahnsen

31 Global Head of Data and Analytics, Belcorp

Michael Christian Rene Collemiche

33 CAO, Grupo Financiero BanorteJose A Murillo

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CDO, Guardian Media Group

Chief Data and Insights Officer, Ministry of Business, Innovation and Employment

CDO, CIMIC

Head of Data and Analytical Services, Ordinance Survey

CDAO, RBS

CDAO, Mediengruppe RTL Deustchland

SVP and CDO, Danone

CDAO, Australian Securities and Investments Commission

CDAO, RMIT University

Catherine Brien

Evelyn Wareham

Dr Virginia Wheway

Lisa Allen

Zachary Anderson

Karin Immenroth

Chris Bannocks

Scott Barber

Nonna Milmeister

Click to navigate

36 CDAO, ChubbDante Tellez

38 Data and Analytics Director, WalmartEdgar Treviño

41 Interim CDO, MoneySupermarketHarvinder Atwal

42 VP – Analytics and Data Science, E.ON

CDAO, Banco de Crédito

Data and Analytics Lead, Finnair

Dr Christian Essling

Leandro Rocha de Andrade

Minna Karha

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CDAO, AXA PPP Healthcare

MD and CDO, KPMG US

Nirali Patel

Jodi Morton

44 Chief Data and Insights Officer, UNSW

CDO – EGM Enterprise Data, National Australia Bank

MD – Head of Data and Analytics, APAC and EMEA, Citi

Kate Carruthers

Glenda Crisp

Zoher Karu

48 Chief Data Scientist, PwCProf Matt Kuperholz

50 VP AI and Data Analytics, Lufthansa Industry Solutions

Dr Susan Wegner

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CDO, Absa Group

CDO, Woodside Energy

CDO, Absa Regional Operations

Chief Transformation Officer, MTN

Group Head of Data Analytics and AI, Axiata Analytics Center

Head of Analytics, The Foschini Retail Group

Former Head of Analytics, Investec Private Bank South Africa

CDAO, Loyalty New Zealand

CDO, Tempcover

Head of Data, RCS Group

Head of Data Analytics, Insights and AI, Qantas

CDO, Al-Futtaim

CAO – Chief Risk Office, FNB South Africa

CDO and Head of Analytics, HSBC

Global Head of Data and Analytics, HSBC Life

CDO: Corporate Investment Banking, Absa

Head of Data Insights Management, Telkom

Head of Data Governance and Strategy, QBE Insurance

Global Head of Analytics and Data Science, HSBC

Hartnell Ndungi

Lauchlan Wallace

Shreya Goswami

Bayo Adekanmbi

Pedro Uria-Recio

Jean Tranter

Siobhain O’Mahony

Brian Ferris

Graeme McDermott

Maritza Curry

Louise Barber

Richard Wingfield

Bart Pietruszka

Laura Cao

Maciej Kaliszka

Zjaen Coetzee

Brett Woolley

Dr Amy Shi-Nash

53 Dr Mark Nasila

55 Director of Data Science and Analytics, Booking.com

Guy Taylor

57 Senior Advisor for Data and AI, UnionBank of the Philippines

Dr David Hardoon

60 Partner and Director – Data and Digital Platforms, The Boston Consulting Group

Evan Stubbs

49 CDO, Telstra

Chief Data Innovation Officer, Bank of Singapore

Chief Data Scientist, NSW Government (& President ACS)

Noel Jarrett

Céline Heissat Le Cotonnec

Dr Ian Opperman

62 Global CDO, Credit SuisseDr Adrian Pearce

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47 CDO, Tertiary Education Commission

CDAO, FoxCo

Group Exec, Data and Automation, ANZ

Jan Sheppard

Jane Eastgate

Emma Gray

Introduction

elcome to the 2020 Business of Data Top 100 Innovators in Data and Analytics report – Corinium’s list of the

world’s top 100 data and analytics leaders!We publish these lists every year to

acknowledge the incredible work that’s being done to advance the cause of data and analytics across the globe. But it also serves as an opportunity to highlight the achievements of some of the top minds in our global network of more than 250,000 business leaders.

As the world’s largest community of senior data, analytics, CX and digital transformation professionals, Corinium is uniquely positioned to bring together and celebrate the most dynamic executives from across the globe.

In fact, this year’s list features interviews with 25 members of our global ‘top 100’. Conducted over several months, they explore these industry trailblazers’ greatest achievements, responses to the COVID-19 pandemic and plans for the future.

The global pandemic has placed a spotlight on the role of the CDAO and reaffirmed the significance of data in organizations. We’ve seen leadership teams embracing technology and data, viewing them as the key to creating successful post-pandemic operating models for their organizations.

In a year that will be remembered for unprecedented disruption and turmoil, we believe it’s never been more important to recognize the analytical thinkers who are guiding their organizations through these turbulent waters.

So, to compile our ‘top 100’, we worked closely with Corinium’s editorial and production teams on the ground in America, Europe, the Middle East, Africa and Asia Pacific.

They spend their days interviewing executives, attending conferences and researching the big issues facing organizations today to ensure our global portfolio of events and benchmarking research covers the topics that matter most to our audience. As such, they enjoy unrivalled

access to the world’s most senior data, analytics and technology professionals.

Together, they have compiled a truly global shortlist that spans a range of industry verticals and geographic regions.

Of course, there are many other industry leaders whose work is every bit as impressive as that of the 100 people we recognize here. It’s impossible to get everyone on one list. But we shall continue to provide a platform for these outstanding business leaders in the months ahead.

At the same time, data and analytics leaders face different challenges in different industries and parts of the world. So, we have decided not to rank our top 100. The business leaders in this year’s list are all doing amazing work in their respective fields.

We hope you enjoy the insights this report contains. And if you’d like to hear more from the data and analytics leaders featured within, you will be able to hear from and network with many of them at our upcoming digital events or virtual conferences.

W

Charlie JamesCEO and Founder, Corinium Intelligence

10056%

64% 36%

44%

data and analytics leaders

By Gender

By Job Title

Male

C-Level Head, Director or VP

Female

This Year’s List at a Glance


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IBM’s consulting group, which I was a part of, was developing AI solutions for some of the biggest companies in the world. I was working with data scientists and executives from the client-side as well as from IBM.

So, I would get access to their data science teams and I would see what they were doing. I kind of got to see top-down and bottom-up in all the different operations. And I just started noting that the same behaviors were being done everywhere that were just not as good as they could be.

It wasn’t that anybody had malintent. It’s just that in many cases people were

fresh out of college and paired with a fairly nascent field, and the result was they didn’t have any set operating ways that they do things. IBM brought a lot of that structure and tightened methods and processes with clients. But to me, it revealed a pervasive gap in most firms that introduced too much room for unintentional harms for everyone else not ‘in the room’.

Loose practices meant that data was just being swapped, bartered, scraped and traded. People were being labeled and then companies were selling that information back and forth. And I just thought, ‘Ordinary people need some rights and some say in this.’

Unfortunately, AI ethics is still being treated like a huge roadblock that’s in the way of progress. People would rather borrow, beg, steal or whatever they need to do to get the data.

The culture that we have adopted so far for data science has mostly been the one of Silicon Valley, which is, ‘Move fast and break things’.

If you do a lot of research on what AI ethicists in general have achieved in their organizations up to this point, you’ll see

that they keep encountering these same roadblocks. They’re told by data science and product teams 1) ‘I don’t want to slow down’ and 2) ‘If I slow down, I may lose my job because I don’t have incentives to do things the right way’.

So, until culture changes around this stuff, we won’t see real progress. I really don’t know what’s going to finally catalyze the change. But it seems like it’s going to have to be regulations, unfortunately.

CEO and Founder, AI Truth

Would you please tell us a bit about AI Truth and why you left your role as IBM’s Global AI Offerings Executive to found the organization in 2018?

How much progress would you say has been made in the field of AI ethics since you launched AI Truth?

Click to view profile

Cortnie Abercrombie


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https://www.linkedin.com/in/cortnieabercrombie/

Joy Bonaguro

Gary Goldberg

Dr Katia Walsh

Joy Bonaguro became California’s Chief Data Officer in February 2020 after a two-year stint as Head of Systems and Data at network visibility solution Corelight. She was the first CDO for the City and County of San Francisco, where she managed open data project DataSF. She was crowned one of StateScoop’s Top Women in Tech in 2018.

Gary Goldberg joined BP in September 2019, following a five-year stint as CDO for EMEA at Japanese financial services institution Mizuho. “Personally, 2019 held a few surprises,” he says. “It gave me an opportunity to transition into a new role in a new industry. It’s incredibly exciting to help build a data-driven culture across BP’s global integrated supply and trading organization.”

Katia Walsh has more than 20 years of data and analytics experience and was named in Forbes as one the US enterprise women defining 21st century AI. Since joining Levi’s in May 2019, she has created a commercial capability integrating all its data, analytics and AI teams to directly support key business priorities.

CDO, State of California

Chief Data Officer, Integrated Supply and Trading, BP

Chief Strategy and AI Officer, Levi Strauss & Co





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https://www.linkedin.com/in/joybonaguro/

https://www.linkedin.com/in/garymgoldberg/

https://www.linkedin.com/in/katiawalsh/

I think it’s taking the data function from a blank canvas to a fully-fledged advanced data platform.

We started by identifying which metrics we needed, and that was essentially our driving force. So, rather than looking at the vanity metrics that a lot of people look at, what I did was sit down with the CEO and say, ‘When you wake up in the morning, what is it that you need to know about the company?’ and then followed his mindset from there.

So, it was very much a top down approach to start off with, because that

way we got the CEO’s buy-in from the very beginning.

When it comes to our online business unit’s data platform, it was so successful in the way that we embedded data into business processes that this was then adopted as one of the key principles for the entire group.

For me, I think that shows how well it worked. It’s now expanded throughout the organization and the structure of the business has changed. Data has become a corporate function. It’s seen in the same way as HR or IT, whereas before two years ago, it wasn’t even on the map.

We cover every single element of travel, from consumer travel to corporate travel to car rental, and we’ve been impacted at every stage. So really, for us it’s about taking the opportunity to use this downtime for development.

We’re doing a lot of development on how we can optimize or automate our self-service tools for people when it comes to refunds and cancellations. That’s something that wasn’t a strategic priority for us before now, because we didn’t have to deal with a high volume of cancellations.

We’re also using data to keep a close eye on when the market’s picking up.

We’re looking a lot at market data – so, not just relying on our own data – to understand the rise in demand to try and be ahead of the curve.

The whole idea of Seera is that it’s an omni-channel environment. So, where we were very strong online, we’ve now opened stores offline. If we can use data to empower our travel advisors within our stores, they can give that extra level of confidence to the purchaser when things start opening up again. So, we’re also building a platform that pulls in data from lots of different open sources globally to provide advice for our customers on where it’s safe to travel.

VP: Data, Seera Group

What would you say your greatest achievements have been since joining Seera Group?

How has the COVID-19 pandemic affected the work that you do, and demand for data within your organization?


Louise Blake


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https://www.linkedin.com/in/louise-blake-346b0729/

Linda Avery

Helen Hunter

Dr Maria Milosavljevic

Linda Avery is Verizon’s strategic voice and visionary for data and analytics. She leads a team of data, analytics, engineering and data science experts focused on creating an information advantage for the telecoms giant. She previously spent five years as CDO, SVP and Head of Data and Statistics at the Federal Reserve Bank of New York.

Helen Hunter became Sainsbury’s’ CDAO in April 2018 and has held a range of data leadership roles within the organization since 2010. She is working to consolidate, clean and reorganize the group’s data assets into a cloud-based environment. Her bold vision is to make “access to data as ubiquitous and easy as breathing oxygen” for her colleagues.

As the Australian Department of Human Services’ inaugural Chief Data Officer, Dr Maria Milosavljevic is tasked with defining and implementing the organization’s data and analytics transformation journey. This includes setting up data governance, management, use and innovation processes, and creating the right environment to support collaboration.

SVP and Chief Data Officer, Verizon

CDAO, Sainsbury’s

CDO, Services Australia





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https://www.linkedin.com/in/linda-avery-b209a518/

https://www.linkedin.com/in/helen-hunter-8213232/

https://www.linkedin.com/in/mariamilosavljevic/

Internally, our IBM Global Chief Data Office (GCDO) scaled the adoption of IBM’s Cognitive Enterprise Data Platform (CEDP) to more than 100,000 IBM users. CEDP is IBM’s single, trusted source for enterprise data and combines unprecedented data connection and an incomparable suite of data and AI services to bring IBMers a new level of business-driving insights.

In addition, we focused our efforts on bringing innovative solutions to market.

One example particularly relevant to CDAOs is ‘automated metadata generation’ (AMG). This leverages custom-developed deep learning models to automatically classify terabytes of data and make it easily discoverable with the data stewardship,

lineage and impact analysis to assure it is trustworthy. With AMG, the GCDO has reduced cycle time by up to 90% and has delivered USD $27 million in productivity savings.

Externally, the GCDO celebrated the 10th anniversary of the IBM Chief Data Officer Strategy Summit in June 2019, marking the longest running event of its kind. In partnership with Corinium, we hosted over 140 prominent C-Suite data and AI clients in San Francisco, California, growing from 15 attendees just five years ago.

We also took our North America model and expanded globally to Tokyo, Dubai, and Johannesburg. We have worked to build a community of CDO and industry leaders to provide a forum for new ideas, networking and progress to be shared.

In 2020, we will continue to scale our internal Cognitive Data Enterprise Platform (CEDP) as the premier hybrid cloud showcase that incorporates Red Hat and cloud tech (OpenShift, RHEL, Cloud Pak for Data, Auto AI, and OpenScale).

Externally, we will continue to host in-person and virtual CDAO summits and a virtual roundtables series. We will highlight data and AI transformations,

deep learning models, hybrid multi-cloud enterprise use cases, and more through industry expertise with innovative technology and rich, immersive experiences.

In 2020, we will continue to be committed to building the CDAO community of peer-to-peer practitioners and extend that community to include Chief Technology Officers.

Global CDO, IBM

What were your greatest professional achievements of 2019?

How will you build on those achievements over the next 12 months?


Inderpal Bhandari


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https://www.linkedin.com/in/inderpal-bhandari-bb019b64/

Dr Christopher Boone

Krishna Cheriath

Dennis Kessler

Dr Christopher Boone joined biopharmaceutical company Abbvie as VP, Global Head, Health Economics and Outcomes Research in May 2020. He was previously Pfizer’s Head of Global Medical Epidemiology and Big Data Analysis. He’s also an adjunct professor at the New York University’s Robert F Wagner Graduate School of Public Service, on the board of several organizations and the co-founder of a number of data-driven start-ups.

Krishna Cheriath is accountable for the Bristol Myers Squibb’s enterprise information and data strategy. He’s working to create an industry leading data supply chain and guide the organization to make the right data and digital decisions, striking the right balance between innovation, ethics and standards.

European Stability Mechanism recruited Dennis Kessler into this newly created role to strengthen its corporate governance. This will aid the organization as it launches a €240 billion Pandemic Crisis Support facility to help euro-zone economies to recover from COVID-19. He was previously Head of Data Governance at the European Investment Bank and was responsible for the bank’s data management and governance.

VP, Global Head, Health Economics and Outcomes Research, AbbVie

CDO, Bristol Myers Squibb

Principal, Data Governance and Internal Policies, European Stability Mechanism





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https://www.linkedin.com/in/datahippie/

https://www.linkedin.com/in/krishnacheriath/

https://www.linkedin.com/in/dennis-kessler-4ab3a7/

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“ The thing that I’m most proud of over the past year has been the establishment of a holistic training program for folks that are distributed throughout the organization”

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Stephen Blackwelder CAO, Duke University Health System

The thing that I’m most proud of over the past year has been the establishment of a holistic training program for folks that are distributed throughout the organization.

As an academic medical center, we don’t have all the analysts neatly cordoned off in a little unit with a VP over them. They’re in departments and academic settings. They’re in different elements of the health system reporting up to different VPs and different siloed aspects of the organization.

Despite this, we endeavor to support all our analytics efforts with a consistent data and metrics base. We refer to this as

‘enterprisifying’ the independent projects – providing consistent data and model curation and deployment that maximizes model effectiveness while limiting accumulation of technical debt.

For example, we support our data science development with a data science lifecycle platform that allows containerized models to interact with a robust microservices infrastructure. That is still maturing, but it has already made a huge difference in terms of reliability and repeatability, allowing people to scale their data science efforts throughout the organization.

What I was just describing is very foundational. At the ‘rubber meets the road’ end of things, we’ve had some consolidation of the leadership around the actual implementation of data science.

So, in place of the ‘beauty contest’ approach we started out with years ago – where if somebody could find a sexy clinical problem to pursue, they went off and started modeling it – we’re now seeing more rigorous alignment to the strategy of the organization.

We’ll see this play out over the next year, reflected in the organization around

the way new projects get prioritized, the way they get onboarded, the way resources are assigned and with further maturation of our lifecycle platform.

Just like everybody else, we have limited resources and making the best use of them is important. What we’re now beginning to see, through ‘enterprisifying’ our data, our governance and through some other organizational changes, is the ability to consistently apply those resources in alignment with our organizational strategy to advance health and healthcare.

CAO, Duke University Health System



How will you build on those foundations through 2020?

Stephen Blackwelder


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https://www.linkedin.com/in/stephenblackwelder/

Kjersten Moody

Morgan Templar

Paul Van Siclen

Kjersten Moody joined Prudential Financial as its Chief Data Officer in June 2020. She was previously the first CDAO for State Farm, where she oversaw a portfolio of data initiatives and worked to drive maturity and efficiency across the organization’s data competencies. Before that, she was Unilever’s VP, Information and Analytics and led the delivery of the company’s information management, reporting simplification, advanced analytics, cognitive computing and master data solutions.

Morgan Templar prides herself on identifying “complex connections in the top-down, end-to-end flow of data and processes” and delivering optimization strategies that result in measurable cost savings and CX improvements. She is also the author of Get Governed: Building World Class Data Governance Programs.

Paul Van Siclen became Senior Director of Industry Solutions at data science consultancy Bardess Group in August 2020. Before that, he spent almost eight years at Qlik, ultimately becoming the software company’s Global Director of Industry Solutions. “We are in the midst of a revolution which is transforming the entire data and analytics supply chain,” he says. “In every case, my greatest professional achievements of 2019 involve connecting this revolution to business users.”

CDO, Prudential Financial


Senior Director of Industry Solutions, Bardess Group





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https://www.linkedin.com/in/kjerstenmoody/

https://www.linkedin.com/in/morgantemplar/

https://www.linkedin.com/in/paulvansiclen/

In 2019, our real focus was on increasing engagement with non-data-driven parts of the organization to try to get them to think in a more data-driven fashion.

So, less about trying to design the world’s most complicated and perfect predictive analytics and more about, ‘How do we change the culture of the

way people interact with or think with data?’ and trying to turn everyone in the organization slowly into something that could loosely be described as a data scientist.

I think we made some really good headway with that in some specific business units and are continuing, this year, to really broaden that scope.

Chief Data Scientist – Banking, Capital Markets and Advisory, Citi


The focus for me now is identifying the next set of adopters.

We’ve had the early adopters, who are the people who you can convince to buy in based on the concept. Those are the lowest hanging fruit, who are really open to the things that we’re doing.

Now, we have actual specific results that we can take around to show to people who are interested and engaged but a little bit more skeptical and that’s a much broader universe of people. So, over the next year, the

hope is that those people are where we will really build engagement, so we can convert them.

That will still be a reasonably small universe, but larger than what we were working on last year.

As you convert more people, that hopefully gets you more advocates who are walking around telling their colleagues about the value that’s being created and putting your work in front of clients and seeing the client impact of that.



Dan Costanza


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https://www.linkedin.com/in/daniel-costanza-73882814/

JoAnn Stonier

Katie Meyers

Dr Amy Gershkoff Bolles

JoAnn Stonier established Mastercard’s first Privacy Office in 2008 and became its Chief Information Governance and Privacy Officer in 2013. She has been responsible for the company’s data strategy since 2018 and helped develop the Principles for Data Responsibility Mastercard unveiled in October 2019. Before joining Mastercard, she was the Chief Privacy Officer for American Express.

Katie Meyers has 20 years’ data and analytics experience in the insurance and financial services sectors. She joined Charles Schwab as its SVP, Global Data Technology in June 2019 and was previously SVP and CDO at Farmers Insurance. She has a master’s degree in materials science and engineering from Georgia Institute of Technology.

Dr Amy Gershkoff Bolles created and serves as GM of BitlyIQ, URL shortening service Bitly’s division focused on providing data and analytics solutions. She previously served as CDO for companies including Ancestry.com and game developer Zynga and has been an advisor and consultant to numerous venture and private-equity-backed companies.

CDO, Mastercard

SVP, Global Data Technology, Charles Schwab

CDO, Bitly





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https://www.linkedin.com/in/joann-stonier-5540b86/

https://www.linkedin.com/in/katie-meyers-5444312/

https://www.linkedin.com/in/amygershkoff/

When I joined the firm, the focus was really to build a foundation for developing data-driven capabilities. So, one of my achievements was understanding the company pain points and resources, as well as identifying the right technology and data assets necessary for building a solid data foundation.

From there, we dug deep into the data. We were able to identify the

most critical data content and then we built the right data product to support decision making and strategy execution. These efforts helped drive acquisitions up significantly.

In my opinion, initiatives such as building the data infrastructure while developing ‘quick wins’ are foundational for driving fast execution and adoption in more and more competitive marketplace.

Director of Advanced Analytics, Goldman Sachs


In the next 12 months, what I would like to achieve is two things.

First, we’ll increase our data content quality by identifying additional data elements that we think are critical to the business.

Second, we will be laser focused on scaling data products and analytics tools that already exist, taking them to the next level.

For example, we will be leveraging data to build digital data product capabilities such as recommendation engines or an engine that can enable sales and business growth.

So, it’s about transforming data into superior content by building the next generation of data tools that really will enable us to be a more data-driven and digital organization.

How will you build on those achievements in 2020?


El Diawlol


16

https://www.linkedin.com/in/el-diawlol/

“ Now, we have actual specific results that we can take around to show to people who are interested and engaged but a little bit more skeptical and that’s a much broader universe of people”Dan Costanza Chief Data Scientist – Banking, Capital Markets and Advisory, Citi

17


Radha Subramanyam

Cara Dailey

Ameet Shetty

Radha Subramanyam oversees all research and analytics operations for CBS, including audience measurement, program and ad analytics, marketing research, program testing, social media measurement, ROI measurement, attribution and advertising research. She is also President of CBS Vision, CBS’ ‘futures’ division.

Cara Dailey is Silicon Valley Bank’s first ever CDO. Reporting into the bank’s CFO, she oversees its data strategy, data governance, data products and data architecture. She was previously Nike’s Senior Director, Enterprise Data Management and CDO at Bank of the West. “I do see the CDO’s responsibilities, both here at SVB and elsewhere, becoming more analytics-focused,” she says. “The value is really in the insights.”

Ameet Shetty leads the data analytics organization at McDonald’s, the world’s largest restaurant company, with a brief to scale the impact from advanced analytics across the organization. His team also manages the franchise’s data governance efforts and its analytics roadmap and strategy. He was previously EVP and CDAO at American bank holding company SunTrust.

Chief Research & Analytics Officer, CBS Corporation

CDO, Silicon Valley Bank

CDAO, McDonald’s





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https://www.linkedin.com/in/radhasubramanyam/

https://www.linkedin.com/in/cara-dailey-34b1061a/

https://www.linkedin.com/in/ameetshetty/

One of my bigger achievements of 2019 was transforming Regions Bank to embed and leverage data science and artificial intelligence across the enterprise, delivering measurable bottom-line benefits.

We have been able to successfully accomplish this by taking a ‘data products’ approach. We engage the right business executives from day one and take complete project ownership, from sourcing the data to bringing it to our data lake, feature engineering, advanced analytics using AI methodologies and delivery to the end-customer.

A couple of high impact data products in 2019 were in the consumer and commercial banking space, where we are

using advanced AI modeling to engage our customers better.

When someone walks into a Regions branch or calls our contact center, as soon as we authenticate the customer, the model analyzes everything we know about that customer and in less than a second comes up with like, ‘Here are three things you can talk to this customer about.’

It analyzes combinations of thousands of what we call ‘next best actions’ for that customer. Keeping our customers in mind, over 40% of ‘next best actions’ are purely informational. This is a great example of leveraging AI and big data to deliver the most relevant and contextual information to the customer.

SVP – Head of Analytics, Data Science and AI, Regions Bank


At Regions Bank, there are three major pillars – consumer, commercial and wealth. So, once something was launched in the consumer unit, my group was like, ‘Let’s do something similar for commercial.’

In commercial banking, those customers don’t walk into a branch. They operate through relationship managers. So, that’s an ‘in between’ person.

The second big difference is, it’s not just about an individual anymore. It is about that corporate company and how that company is doing in the

macroeconomic conditions. So, the data we need to use is very different. In addition to mining the transactional data, we must rely on external data sources.

We started the commercial product with an aggressive goal to take it to pilot in the fourth month. So, we launched the project last year. We did the first pilot January of this year in some of our markets, and in April we’re rolling it out to the entire population. We’re preparing to launch a similar product on the wealth side, at this point.

How will you build on the achievements of 2019 over the next 12 months?


Lakshmanan Meyyappan


19

https://www.linkedin.com/in/lakshmanan-m-725a84132/

Anwar Mirza

Tim Lum

Gaia Marcus

Anwar Mirza is an authority on data governance, master data management and information management. He has worked for courier delivery services company TNT for 32 years and moved into his new role following its merger with FedEx Express. He’s a regular speaker at industry events and has been lecturing at university level for the past eight years.

After spending two years building Virgin Atlantic’s centralized data and insight function, Tim Lum has joined business consulting firm BCG Platinion as an Associate Director. His work has spanned data engineering to AI and from marketing to operations. He was named in Corinium’s 2019 ‘global top 50’ list and the 2019 DataIQ 100 list.

Gaia Marcus is leading her department’s work to develop the UK’s National Data Strategy. She explains: “The overall aim is to build a world-leading data economy, understanding how to unleash the power of data across government and the wider economy, while building citizen trust.”

Data Strategy and Governance, FedEx Express

Associate Director, BCG Platinion

Head of National Data Strategy, Department for Digital, Culture, Media and Sport





20

https://www.linkedin.com/in/ammirza/

https://www.linkedin.com/in/timothylum/

https://www.linkedin.com/in/gaiamarcus/

Analytics is being used to grow different business lines across the bank. For any business line that I work with, the first thing they say to me is, ‘Help me grow my business.’ That’s the first thing I do, using data insights.

How do we make sure that we go after new leads in the space of digital marketing? How do we make sure that we precisely target people based upon what the person has seen on the webpage or understanding the intent of each person? This is all about growing a business.

There are a couple of other offensive use cases that we work on. One is all about churn and attrition, trying to predict attrition based upon data signals. That’s one of the key projects that we’re working on. Then, the last one is about cross selling. How do we make sure that we cross sell customers into different business lines?

On the defensive side, we’ve also got a lot of use cases that we’re working on to support our fraud team in understanding whether a particular action pattern constitutes money laundering.

CAO, US Bank


The big objective this year is trying to make sure that I have a complete data-driven culture across the entire organization.

What this means is trying to make sure that people are brought-in at different levels. It’s not only that you build models, but also trying to make sure that your change management becomes absolutely right. So, trying to teach frontline staff, especially the salespeople, how to make sure that data is embedded in their everyday functions.

Just to give you an example, imagine I build a model and the model says a customer is going to leave a relationship in the next three months. How do I make sure that staff pick up on and act on that data insight? How do you tune the conversation?

There are a lot of moving parts in how we design that, and effective change management happens across the company.

What are your strategic priorities going into 2020?


Srini Nallasivan


21

https://www.linkedin.com/in/srininallasivan/

Dr Gabriele Compostella

Dr Ben Dias

Peter Eckley

Dr Gabriele Compostella joined the Volkswagen Data:Lab in 2015. His main areas of expertise are data analytics, machine learning, applied AI, quantum computing and the technical challenges behind their industrial implementation. He has a PhD in particle physics and has been involved in scientific collaborations at Fermilab and CERN.

Reporting directly to EasyJet’s Airline Management Board, Ben Dias is responsible for transforming the company’s data science team so that EasyJet can become the world’s leading data-driven airline. He’s also a member of the company’s executive leadership team.

Peter Eckley is leading an organization-wide transformation program to help the Bank of England make the best use of data and analytics. He started this new role in June 2020, following 18-months as the bank’s Acting Chief Data Officer. Eckley joined the bank in 2015 as a Senior Economist in the Prudential Policy Directorate, following a stint in economic research in academia.

CTO – Data:Lab, Volkswagen AG

Data Science and Analytics Director, EasyJet

Head of Data and Analytics Strategy Division, Bank of England





22

https://www.linkedin.com/in/compostella/

https://www.linkedin.com/in/bendias/

https://www.linkedin.com/in/peter-eckley-8565631/

“ Imagine I build a model and the model says a customer is going to leave a relationship in the next three months. How do I make sure that staff pick up on and act on that data insight? How do you tune the conversation?”Srini Nallasivan CAO, US Bank

23


In 2019, I was proud to have realized my dream of filing over 100 patents in the area of AI and machine learning. I found inspiration almost daily in the news, as entire industries are challenged to build and apply ethical AI technology.

I focused on creating unique algorithms and methods to support the delivery of ethical AI. These include

novel machine learning algorithm architectures that are more transparent, model confidence measures as to when to trust machine learning and blockchain model governance, to ensure that the entire model development process is auditable and meets regulatory and governance standards.

CAO, FICO


I will be working with corporate partners who want to make ethical AI a reality in their development shops.

There are numerous companies that want to use our blockchain model governance framework to ensure models are built to the same standards across data scientists and feed into their model governance functions.

In this way, companies can launch innovative ethical models into

production more rapidly, reliably and confidently.

I will also be releasing a neural network trainer that will produce transparent neural networks, in which the relationships that drive the outcome are exposed. This transparency can be used to demonstrate palatable relationships, and those can be tested for bias.



Scott Zoldi


24

https://www.linkedin.com/in/scottzoldi/

Camilla Björkqvist MBA

Dr Youmna Borghol

Lisel Engelbrecht

Camilla (Schwartz-)Björkqvist is responsible for executing on Danone’s ‘people driven, data enabled’ strategy of transformation. She was previously ING’s Head of Data Transformation and led the group’s global data management change program. She is also a member of the EDM Council’s Women in Data Global Advisory Board.

Since starting her career as a Data Scientists at National ICT Australia, Youmna Borghol has amassed more than 10 years of data leadership experience. Today, she heads the data department at media giant Choueiri Group, overseeing the data team and all data-related product solutions. Her PhD is in social media analytics.

Lisel Engelbrecht was Standard Bank Group’s Head of Data Services for three and a half years, before being promoted to her current role in September 2019. Her career spans 25 years in South Africa’s manufacturing, retail, ecommerce and financial services sectors. She is also an Ambassador for Women in AI.

Data and Analytics Transformation Director, Danone

CDO, Choueiri Group

CIO PBBSA: Data, Analytics and AI, Standard Bank Group





25

https://www.linkedin.com/in/camillabjorkqvist/

https://www.linkedin.com/in/youmna-borghol-0bb9948/

https://www.linkedin.com/in/lisel-engelbrecht-32a7122/

From an institutional capability perspective, there’s now a dedicated team that uses data to run literally 200 marketing campaigns a year. They’re really micro-focused on specific segments of our customers.

We’re constantly launching new products. We’re in international financial services. So, we serve customers from many different types of countries – Mexico, Guatemala, El Salvador, Honduras, Jamaica, Haiti, Dominican Republic, Ghana, Senegal, Cameroon, Yemen – all these different kinds of countries. They all have their own specificities.

Every morning at 9.45am, there’s a marketing operations meeting. I have an analyst dedicated to that team. We’ve implemented a marketing automation platform that takes data and launches experiments, so we can see the results in two days.

Since 2018, we’ve also been creating new products for our customers by mining transaction-level data, understanding customer behavior and offering products packaged and bundled in new ways to address the needs of specific segments of the market. That’s really been successful in acquiring new customers and driving increased purchase frequency.

VP – Analytics, IDT Corporation


One of the things I’m focused on this year is really developing my team. I’ll be introducing new tools to really focus more on predictive modeling and data science, as opposed to analytics.

It’s still mostly the same models. But analytics builds models and delivers data to people, while data science

builds models and delivers data to other applications.

So, we’ll be using the insights from those models and embedding them into applications for our business, basically to do different stuff to different people based on their predictive scores. That’s essentially what we’re trying to do.



Charles Thibault


26

https://www.linkedin.com/in/charles-thibault-9a05862/

Matthew Fryer

Allison Sagraves

Jon Francis

Matthew Fryer is leading, creating and developing Hotels.com and the Expedia Affiliate Network’s new data science function. His team also has a strategic R&D mandate to use technologies including deep learning AI to solve the hardest challenges facing the business. He was named in 2019 and 2020’s Data IQ 100 list and was awarded ‘ML Hero’ status by Amazon Web Services in 2018.

As M&T’s inaugural CDO, Allison Sagraves has established data governance, data quality, business architecture and analytics processes to enable business units to manage risk, generate revenue and improve their efficiency. She joined the company in 1991 and has served in multiple leadership roles over the course of her tenure.

Following a stint as Starbuck’s SVP of Enterprise Analytics, Data Science and Research, Jon Francis became the coffee giant’s CAO in April 2020. He is responsible for the chain’s analytics and data strategy, data science and market research, supporting its customer, marketing, digital, pricing, product, partner, ops services and store teams.

VP, AI and Chief Data Science Officer, Expedia Group

Senior Vice President Founding Chief Data Officer, M&T Bank

CAO, Starbucks





27

https://www.linkedin.com/in/matthewfryer/

https://www.linkedin.com/in/allisonsagraves/

https://www.linkedin.com/in/jonfrancis/

“ ‘Change agents’ exist in every organization, and when we help unlock the value of new technologies and make it personal for them, their credibility and professional lives make a dramatically positive move”Paul Van Siclen Senior Director of Industry Solutions, Bardess Group

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The biggest achievement that comes to the top of my head would be getting better at translating business needs into data science. I think that is going to be my theme during this interview.

What I have come to realize recently is that the big projects you want to do most in data science or analytics are becoming more and more like traditional business areas. You have to deal with internal politics and all kinds

of blockers that will not allow you to do the right transformation.

I’ve been able to get better at translating business needs. I will say that, nowadays, the solution doesn’t have to be like the best solution from the technical view of the machine learning part. What I have to spend the most time on is the question of how to align the solution to add value.

VP of AI, Rappi


Something that I’ve come to realize is that data science and analytics cannot be an internal consultancy area.

Being so disconnected with business side just ends up adding a lot of complications. So, I’ve actually moved my data science team from being a team inside the tech organization to actually being a team in the business organization.

I’m no longer trying to find the ‘top’ machine learning engineers or machine learning data scientists, either. I’m most focused on finding very good data scientists with proven business experience and goal-oriented decision-making.

How will these realizations affect your work going forwards?


Alejandro Bahnsen


29

https://www.linkedin.com/in/albahnsen/

Dak Liyanearachchi

Joe Vellaiparambil

Faraz Shafiq

Dak Liyanearachchi leads Hilton’s effort to build an industry-leading data platform to provide better insights into the hospitality landscape and provide more exceptional and personalized guest experiences. He previously served as Catalina Marketing’s CDO, with a brief to build a customer-centric database.

Joe Vellaiparambil is responsible for creating, implementing and maintaining AXA Equitable’s enterprise data strategy. In his role, he champions the monetization of the company’s data assets and partners with the business areas to implement new analytical capabilities that increase the firm’s top line, improving its profitability and customer experiences.

As part of Amazon Web Services’ executive leadership team, Faraz Shafiq heads up the organization’s digital transformation products and programs. He is also a Digital Transformation Advisor to aerospace group Airbus and Data Science and AI Advisor to San Francisco University. Before joining AWS, he led all data and AI products and programs at USD $10 billion health tech company Cambia Health Solutions. He also spent two years CDAO at telecoms conglomerate Verizon.

CDAO, Hilton

CDAO, AXA Equitable

Global Head of Digital Transformation and Enterprise Modernization, Amazon Web Services





30

https://www.linkedin.com/in/dak-liyanearachchi-0664381/

https://www.linkedin.com/in/joevellaiparambil/

https://www.linkedin.com/in/fshafiq/

In 2019, my team improved our big data architecture, using the highest standards and the latest components of cloud computing. This enabled the scaling of our machine learning algorithms to all 14 countries where Belcorp is present, as well as providing data for all our digital assets.

Another important achievement in Belcorp was the creation and promotion of a purpose-driven and data-powered culture, and the promotion of data self-service through data exploration and visualization tools.

I also implemented a state-of-the-art analytics center of excellence in 2019, to meet the growing demand for data scientists and data engineers required by the deep digital transformation that Belcorp is undergoing.

Acquiring talent has been fundamental to overcoming our business challenges. So, specialists from different countries joined our center of excellence, and our data scientists and data engineers developed new skills to be able to lead the adoption of advanced analytics and data architecture techniques.

Global Head of Data and Analytics, Belcorp


My team will develop new applications of data and AI for use cases such as preventing the loss of customers, optimizing marketing spending and business tactics, increasing revenue and achieving massive production cost savings.

This year I also have a firm commitment to my team to patent an AI

solution that reflects Belcorp’s corporate purpose: ‘We promote beauty to achieve personal fulfilment.’

With the same energy as I did in 2019, I will continue to promote a data-powered culture, so that decision-making is based on data and information. In turn, this will contribute to our corporate purpose.



Michael Christian Rene Collemiche


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https://www.linkedin.com/in/michael-christian-r-collemiche-2a8ba025/

Micheline Casey

Elaine Priest

Eleanor Armiger

Micheline Casey is CDO at transport and logistics company Maersk and an independent board director for North American bulk power specialist Midwest Reliability Organization. She previously spent eight years at a boutique data and analytics strategy and innovation consultancy. “I create enterprise data strategies for large companies,” she says. “I help keep brands relevant in today’s dynamic digital environment.”

Elaine Priest has been overseeing NatWest Group’s data strategy since June 2017. She previously held roles as BCBS 239 Program Director for RBS and Head of Regulatory Reporting Change Management at Barclays. She has more than 12 years of financial services experience, providing leadership on effective risk data aggregation and risk reporting.

Eleanor Armiger has been with BA since she first secured a graduate role there almost 20 years ago. She spent five years as a Senior Operational Research Consultant, before becoming a Network Development Executive and then a Strategy Manager. “In 2018, I returned home to analytics to head-up the newly formed central analytics team,” she explains. “Looking back on 2019, I am amazed at the amount of beneficial change we enacted within my department.”

CDO, AP Moller - Maersk

CDO, NatWest

Head of Analytics, British Airways





32

https://www.linkedin.com/in/michelinecasey/

https://www.linkedin.com/in/elaine-priest-4a4b568/

https://www.linkedin.com/in/eleanor-armiger-9767461/

I think it was the evolution of our understanding of the customer. We went beyond a quantitative understanding of the customer by using artificial intelligence, behavioral economic tools and experimental techniques to understand the causality.

We can now understand much better the profound incentives or desires of our customers. We’ve started to have a more congruent and integrated conversation with the customers, so that we can increase the customer lifetime value that they have for the company.

CAO, Grupo Financiero Banorte


Last year, we hit our highest mark on value creation. We reached a USD $1 billion in net revenues created for the company. During my five-year tenure, that accumulates to a total of USD $3 billion.

Now, it’s going to be very interesting, because we have all of these insights and we have created this factory of ideas where we are understanding the customer much better.

So, this year we are going to tie everything together and try to have all of

our communications tooled towards the customer in a unified way.

That way, when we are talking about different products, we can have conversations that address their deep motivations, in some sense. We’re essentially ‘humanizing’ our quantitative knowledge of the customer.

It’s one thing to have the knowledge. But the other part is to have the buy-in of the different business partners within the company. It’s not only an effort for the analytics team. It’s a company-wide effort.



Jose A Murillo


33

https://www.linkedin.com/in/jose-murillo-b676261a/

“ This year will see further incremental developments in this area with a greater focus on being able use data to ‘join the dots’, whether it is across processes, clients or products, both internally and externally”Dr Adrian Pearce Global CDAO, Credit Suisse

34


Catherine Brien

Lisa Allen

Chris Bannocks

Catherine Brien joined Guardian News and Media as its first CDO in 2018. She is tasked with uncovering insights into The Guardian’s readers, growing its audience, deepening engagement and driving revenue. One of her 2020 priorities is building trusted first-party consumer relationships with data collection and permissions that enable value creation. She previously spent two years as Data Science Director with the Cooperative Group, following a 16-year career in management consulting.

Ordinance Survey, the UK’s national mapping agency, hired Lisa Allen as Head of Data Management and Requirements in April 2018. She became its Head of Data in December 2019, with her role expanding to include analytical services in April 2020. Today, she leads a team of geo experts ensuring the agency’s data is fit for the demands of its customers. She was previously Head of Data Management at UK government ministry Defra and National Data Integrity Manager at the Environment Agency.

Chris Bannocks joined Danone as SVP and Chief Data Officer in June 2019 and was previously Group CDO at Dutch bank ING for almost four years. His current role involves creating a ‘digital Danone’ to support the brand’s ‘One Planet One Health’ initiative and enabling all Danone staff to use data and analytics to measure and improve their work.

CDO, Guardian Media Group

Head of Data and Analytical Services, Ordinance Survey

SVP and CDO, Danone





35

https://www.linkedin.com/in/catherine-brien-44666b1/

https://www.linkedin.com/in/lisa-allen-a750181/

https://www.linkedin.com/in/chrisbannocks/

The projects that I’ve been working with for the last year are mainly focused on architecture for data science.

Obviously if you don’t have the right architecture in place, maybe your Spark clusters or whatever, you are not able to do any data science projects. Right? So, it’s fundamentally working on these foundations to do data science.

In parallel with that, we’re trying to run models locally on our machines to deliver some results or to do some use cases to prove that we are totally able to do it. But we don’t yet have the computational power to do the data flows for these machine learning operations in an automated way.

CDAO, Chubb


Culture is a big one, since some people are still not ready to think about being more data-driven. They have tons of priorities, and data analytics and data science are low down on their lists. They want to increase their business through more sponsors and more partnerships. So, they’re not necessarily thinking about data yet.

It’s a little bit cultural, a little bit about processes. Processes are sometimes something that’s not allowing us to move forward. So, it’s about pushing a little bit about processes, while working to change mindsets, people and also technology. So, basically that covers everything. Right?

In general, it’s a very clear strategy. You have two streams: the customer 360 view, which is to your direct customers, and we have a view for our internal customers, right? Our users that have a lot of manual processes and stuff.

So, one of our main goals within our data strategy is to secure data democratization. That will be our main goal internally.

In regard to our external customers, we want to improve the user experience, so that they can have all information they require from us – the billing information, the claims information, everything – available, so they can see how they behave as customers.

As an insurance company, we don’t have a lot of touchpoints with our clients. So, we want to improve the quality of those touchpoints.

What are some of the challenges you’re currently facing?

How will you drive Chubb’s data strategy forwards in 2020?


Dante Tellez


36

https://www.linkedin.com/in/dante-tellez-guevara-28985254/

Evelyn Wareham

Zachary Anderson

Scott Barber

As Chief Data and Insights Officer for New Zealand’s Ministry of Business, Innovation and Employment, Evelyn Wareham’s role is to support the ministry in delivering its data and insights strategy. This includes establishing capabilities to enable the use of data and insights for policymaking and to provide operational intelligence.

Royal Bank of Scotland welcomed Zachary Anderson as its CDAO in February 2020. He was previously SVP and CAO at gaming giant Electronic Arts, where he was responsible for the company’s consumer insights, UX research, data science, studio analytics and marketing analytics. He is also a Guest Lecturer at The Wharton School, the world’s first collegiate business school.

The Australian Securities and Investments Commission (ASIC) recruited Scott Barber as its CDAO in February 2020. He previously spent three years as CDO at healthcare provider and insurance company Bupa. During that time, he sculpted the business’ data strategy and harnessed Microsoft’s Azure services to automate and streamline its data management and reporting processes.

Chief Data and Insights Officer, Ministry of Business, Innovation and Employment

CDAO, RBS

CDAO, Australian Securities and Investments Commission





37

https://www.linkedin.com/in/evelyn-wareham-395221a/

https://www.linkedin.com/in/zachery-anderson-a74ab81/

https://www.linkedin.com/in/scottcbarber/

As you all know Walmart is a big company. We have presence in many countries and the Mexican one is very relevant. We have more than 2,500 stores in all the states of Mexico, with a presence in more than 600 cities and we continue growing.

I moved to Walmart, from a digital industry and a ‘digital native’ company, to a traditional retail company. But I did so because I now have the chance to build Walmart’s data strategy from scratch to enable its digital transformation.

So, last year we created the data strategy, from the governance

perspective to the monetization perspective. I also created the data office with three chapters – the data governance chapter, the data science chapter and the data product chapter.

When we engage the business, we want to build solutions to give value to the business through those three dimensions.

That means improving the business performance by creating efficiencies in organizations or processes, efficiencies in automating certain processes we have or helping to create new business streams.

Data and Analytics Director, Walmart

Would you please tell us a bit about the work you’re doing to develop and execute Walmart’s data strategy?

This year we are celebrating the next stage in Walmart’s transformation. The data office is getting bigger.

Now, we have five chapters. We have the process chapter, because we’re helping to improve business models of each business unit, with data flows supporting all their main processes.

So, we work a lot on automation, giving tools to the business and automating the processes in each business unit.

We also have a chapter, not only for data science, but also a wider chapter called analytics. It covers everything from business intelligence to advanced analytics.

How will you be working to expand the organization’s data capabilities in 2020?


Edgar Treviño


38

https://www.linkedin.com/in/edgartrevino/

Dr Virginia Wheway

Karin Immenroth

Nonna Milmeister

Virginia Wheway joined Australian civil and mining engineering group CIMIC as the Data Science and Analytics Manager for its subsidiary Thiess in 2018. She was promoted to CDO in June 2019 and is now developing CIMIC’s enterprise-wide data strategy and data models. She is also creating roadmaps for data-driven solutions across the organization. Her leadership experience spans sectors including aviation, mining, energy, finance and state government, and she holds a PhD in data science and ML from University of Wollongong.

Karin Immenroth’s earned her first C-Level analytics role in 2016, when she became CAO at media agency MEC. Her role expanded when the company merged with Maxus in 2018 and she assumed responsibility of analytics at the resulting agency. She then became CAO and MD for media company GroupM’s central research team before moving to Mediengruppe RTL Deutschland in October 2019.

Nonna Milmeister became RMIT University’s CDAO in June 2019. Before that, she was Head of Data Strategy and Governance at QBE Insurance. She has also held several senior roles at telecoms giant Telstra, including General Manager, Data Management CoE and General Manager, Sales Capabilities, ITS Platforms.

CDO, CIMIC

CDAO, Mediengruppe RTL Deustchland

CDAO, RMIT University





39

https://www.linkedin.com/in/virginiawheway/

https://www.linkedin.com/in/karin-immenroth-0a97746a/

https://www.linkedin.com/in/nonna-milmeister-6761611/

“ We engage the right business executives from day one and take complete project ownership, from sourcing the data to bringing it to our data lake, feature engineering, advanced analytics using AI methodologies and delivery to the end-customer”Lakshmanan Meyyappan SVP – Head of Analytics, Data Science and AI, Regions Bank

40


We managed to migrate off a legacy data analytics stack onto the Google Cloud Platform.

MoneySupermarket has been in the cloud for a long time, actually. Our website has been on AWS. The EDW is on AWS. We tried to build our data analytics and data science stack on AWS, but we were finding it quite challenging. So, we spoke to Google and have been steadily migrating our

data and our processes over to GCP [Google Cloud Platform].

We managed to complete that around the middle of last year. Now, basically we have a GCP as the kind of the center of analytics at MoneySupermarket. We integrate a lot of our data sources there – website, mobile app, marketing-platform data – to give us a complete view of what our users are doing. That then drives a lot of activities.

Interim CDO, MoneySupermarket

What was your greatest professional achievement in 2019?

There are more data sources we want to integrate into the platform. So, that’s going to be quite a big focus for us.

The other focus is going to be on building out more advanced data product capability on it. For instance, building out machine learning APIs that serve the website and our mobile apps, providing better recommendations to customers.

Another great thing about the platform is the speed benefit that it brings. We have dramatically sped up the amount of time it takes to, for instance, create

a machine learning model to score customers, which means that we can keep our models much more up to date.

The benefit that has in terms of customer experience is that, when customers engage with any of our touchpoints, we can update how we are going to treat them much more quickly. So, rather than having to wait a week before customers notice a difference in their communication from us based on what they’ve done on the website, it’s theoretically within hours.



Harvinder Atwal


41

https://www.linkedin.com/in/harvindersatwal/

Dr Christian Essling

Minna Karha

Dr Christian Essling has been E.ON’s Vice President Analytics and Data Science since September 2018. He is also President of Munich DataGeeks, an independent, non-profit organization which aims to foster digitalization in Munich.

Minna Karha oversees a department of data, analytics and data science professionals, and has led Finnair’s data strategy since August 2017. Her team is building a futureproof data platform designed to empower airline staff to be data-driven, providing easy access to relevant data and promoting data literacy.

VP – Analytics and Data Science, E.ON

Data and Analytics Lead, Finnair



Leandro Rocha de Andrade

Leandro Rocha de Andrade has been working in executive positions related to database marketing, advanced analytics, AI, CRM and business intelligence for more than 20 years. His experience spans the telecoms, retail and financial services industries.

CDAO, Banco de Crédito



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https://www.linkedin.com/in/christianessling/

https://www.linkedin.com/in/minna-k%C3%A4rh%C3%A4-926779/

https://www.linkedin.com/in/leandro-rocha-de-andrade-78012a/

One of the greatest things that we’ve done and that my organization has enabled me to do is to bring together a lot of siloed teams and give them a clear operating model (with goals) that recognizes their input into our data and analytics industry.

We created a data and analytics career pathway within my organization for analysts who didn’t really have a career pathway in this field, giving them the opportunity to be recognized in their own right as data experts and setting up appropriate training and development programs to support them further.

You could come in as what I’d call a business data analyst and end up being a data scientist, if you want to. Each individual’s development path is really up to them, enabling them to be the best in what they do.

I’ve also hit a point where the demand on data exceeds the resource that we have support it. Now, that doesn’t mean that we as an organization are 100% data literate. But it does mean that we have truly recognized, nearly all the way through the levels, that data is integral to the success of our organization.

CDAO, AXA PPP Healthcare

What were your greatest professional achievements in 2019?

As the CDAO for our business, my focus for the next 12 months is continuing to empower my team to be the best versions of themselves and support them in the diverse careers that we have within the data and analytics department.

The other part is to get continued buy-in from my stakeholders on our data strategy. That could be a claims handler on the phone through to the CEO, through helping them understand the direct line impact of our data strategy for them in their ‘day to day’ work life

and in the strategic view, as well for how we help our customers live the best versions of themselves.

So, it’s really a ‘people and culture’ focus for the next year, while still delivering value through analytics. But the key thing for me is that, if there is enough buy-in from the business and there is enough demand from the business and there’s a good understanding within the business, that is when data and analytics can be truly successful.

How will you build on those successes in 2020?


Nirali Patel


43

https://www.linkedin.com/in/niralidpatel/

Kate Carruthers

Glenda Crisp

Zoher Karu

Kate Carruthers has been responsible for UNSW’s data and information strategy since October 2014. Her team is responsible for institutional planning and statutory reporting, business intelligence, analytics, data warehousing and data governance. She’s also a member of the New South Wales Government Data Analytics Center advisory board.

Glenda Crisp has been National Australia Bank’s CDO, EGM Enterprise Data since April 2018, where she is responsible for data governance and management, as well as building the cloud-native data lake and analytics platforms. She previously held senior roles at TD Bank Group including SVP and CDO and SVP and CIO Corporate Technology.

As Citi’s Head of Data and Analytics, APAC and EMEA, Zoher Karu oversees 17 out of the 19 markets in which Citi operates. He is responsible for designing, building and operating a data and analytics insights engine and ecosystem to drive better customer experiences and growth for Citi’s consumer bank.

Chief Data and Insights Officer, UNSW

CDO – EGM Enterprise Data, National Australia Bank

MD – Head of Data and Analytics, APAC and EMEA, Citi





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https://www.linkedin.com/in/katecarruthers/

https://www.linkedin.com/in/glenda-crisp/

https://www.linkedin.com/in/zzkaru/

I joined the firm about 12 months ago and was brought on board to drive and implement our data strategy. We’re looking at opportunities to help us operate more efficiently, deliver greater value to our clients and to help drive our own internal decision-making.

I’m very proud of how much progress my team has made over the past year. We have a lot of talented people doing great work for us right now.

We are focused on building our foundational data capabilities, such as our enterprise data lake, our metadata capabilities and our master data

management capabilities, establishing standards and standing up data governance councils.

Another big thing that we’ve been working on is the communication of the data strategy, which is really all about sharing the data strategy internally across our business functions – from Audit to Tax, Advisory and throughout the back office.

We’re communicating to increase awareness of what we’re doing and to get them thinking how to work with and leverage the firm’s foundational data assets.

MD and CDO, KPMG US

What would you say have been your greatest professional achievements since becoming CDO of KPMG’s US firm?

I think the question is: Do you take this opportunity to slow down and be somewhat conservative? Or do you take advantage of a unique environment like this to accelerate some of your future-focused investments?

We’re moving forward with both our digital business transformation as well as the data strategy. The pandemic is highlighting new and existing opportunities that we’re now accelerating.

So, what impact is today’s rapidly changing environment having on your data strategy?

Data is foundational for driving insights in this ‘new normal’ where we’re reacting every day to what’s going on around us.

We’ve received quite a few requests for new data from teams across the firm that are looking to help drive additional insights for our clients. Our third-party data group is being leveraged to deliver that data.

There’s also a pretty consistent stream of questions from our senior leadership that had never been asked before, but which are now being asked in this new environment. My team is right in the thick of helping to drive insights that will help our leadership manage our firm in these unique and uncertain times.

How has the COVID-19 pandemic affected the work that you’ve been doing, in the first part of the year?


Jodi Morton


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https://www.linkedin.com/in/jodi-morton-761432a/

“ We’re moving forward with both our digital business transformation as well as the data strategy. The pandemic is highlighting new and existing opportunities that we’re now accelerating”Jodi Morton MD and CDO, KPMG US

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2020 Global Top 100 Innovators in Data & Analytics2020 Global Top 100 Innovators in Data & Analytics

Jan Sheppard

Jane Eastgate

Emma Gray

Jan Sheppard is CDO at the Tertiary Education Commission, where she has worked since 2013. In that time, she has taken the TEC on a journey from being a data hoarder to a data broker, treating data as an asset and realizing value from it. She has also initiated a plan to embed ‘being data savvy’ into the organization’s DNA.

FoxCo CDAO Jane Eastgate was appointed to the role in August 2018. She has been working to transform FoxCo’s data and analytics foundation ever since, to identify where it can optimize subscriber benefits while maximizing business outcomes. She is also responsible for Foxtel Media’s Multiview research, insights and analytics platform.

Australia and New Zealand Banking Group named Emma Gray as its first CDO in February 2017. She oversaw the bank’s data strategy, including how its data is defined, gathered managed and protected and moved into her present role in May 2020. She previously spent three years at retail giant Woolworths Group, where she was made Chief Loyalty and Data Officer in July 2014.

CDO, Tertiary Education Commission

CDAO, FoxCo

Group Exec, Data and Automation, ANZ





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https://www.linkedin.com/in/jan-sheppard-79b37317a/

https://www.linkedin.com/in/jane-eastgate-9849345/

https://www.linkedin.com/in/emma-gray-98a98a5/

I have spent more than 20 years applying AI based solutions to solve a wide range of my clients’ challenges.

During this time, AI-powered solutions have continually become more powerful and delivered more value. They have also been progressively enabled by other complimentary exponential technologies, such as increases in data, computing power and connectivity.

But in tandem, new types of associated risk have become more relevant to address. These risks are not limited to the performance of AI. They also relate to newer areas of risk, such as ethical, societal, AI security and control risks.

In 2019, together with a few other analytics partners globally, I led the

research, development and deployment of a collection of tools and services to support our clients in managing these new emerging risks. We have called our solution ‘Responsible AI’.

We developed tools which support the appropriate governance of AI, the development and deployment of ethical frameworks relating to AI usage and the testing of algorithms to ensure fairness, understanding of bias, transparency and explainability are accounted for, while ensuring the deployment of AI is robust and secure.

I consider this some of the most important and societally relevant work I have ever done.

Chief Data Scientist, PwC


The trends that drove the development of the Responsible AI toolkit are only going to continue and increase in impact.

We are witnessing the effects of AI-powered technical solutions that are not fair, cannot be explained and are not sufficiently robust and secure at an accelerating rate. We are also seeing renewed focus on the requirement for companies to appropriately govern and apply robust, societally acceptable ethical frameworks to their use of AI.

In the near future, it is likely that we will see AI-powered solutions becoming more democratized and commoditized, and so more readily available to a wider group of entities who want to use or adopt them.

Regulatory, customer and citizen pressure to use these technologies responsibly will only increase over the next 12 months.



Prof Matt Kuperholz


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https://www.linkedin.com/in/kuperholz/

Noel Jarrett

Céline Heissat Le Cotonnec

Dr Ian Opperman

Having joined Telstra as Director, Network Service and Facilities in 2012, Noel Jarrett has had a number of roles in Telstra including Proactive Service Operations and Customer Service Improvement. In 2018, he became the telecoms giant’s CDO. He is responsible for transforming Telstra’s data architecture, big data platforms, enterprise database technologies, orchestration, AI tools and automation solutions to deliver maximum ROI.

Celine Le Cotonnec oversees Bank of Singapore’s data strategy in cooperation with the OCBC Group Customer Analytics Department and AI lab. Her mission is to foster a culture of innovation within the bank while running its internal incubator springboard. She was previously Chief Data and Innovation Officer of AXA Singapore.

Dr Ian Oppermann is the NSW Government’s Chief Data Scientist working within the Department of Customer Service, and Industry Professor at University of Technology Sydney (UTS). With 27 years’ experience in the IT sector, Dr Oppermann has contributed to six books and co-authored more than 120 papers, which have been cited more than 3,500 times.

Chief Data Officer, Telstra

Chief Data Innovation Officer, Bank of Singapore

Chief Data Scientist, NSW Government (& President ACS)





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https://www.linkedin.com/in/noel-jarrett-7605246a/

https://www.linkedin.com/in/celinelecotonnec/

https://www.linkedin.com/in/ianoppermann/

My role in Deutsche Telekom was really a headquarters role. The intention was that we would implement a use case in one country or business unit and then transfer it to another country or business unit to potentially achieve reusability of the use case.

That has two impacts. One impact is, it’s much cheaper if you just transfer use cases from one country to another. The

other is, for all cases in a country, if you have a common data model, you can use that as the basis for the use case, enabling quicker and therefore cheaper implementations.

Overall, with a common data model, you have the scalability in the country and, additionally, the ability to transfer it with very low costs to another country.

VP AI and Data Analytics, Lufthansa Industry Solutions


Well, I’m just getting used to everything! However, the general topic is to generate business impact out of data with AI.

What I really like is that my new team has a lot of experience in enterprise-ready use cases with all kinds of AI technologies, including deep learning. Typical use cases involve customer experience, the ‘360 customer view’ or predictive maintenance.

It’s not about MVP [minimum viable product] and starting to put a little bit of statistical things into operation. No, the team already has lots of experience bringing AI cases into operation and supporting the operation of these. We will definitely go further on with this.

The other thing I’d like to mention is that the team has started to set-up

an ‘AI factory’ within one of the units. The business departments identify high-value use cases and add them to the AI factory’s pipeline. After a quick proof-of-concept (1-3 weeks), a detailed planning of an implementation project to deliver an enterprise-ready solution follows. There is a central budget for proof-of-concepts. But the cost of implementing a project has to be covered by the relevant business department.

The major effect is that all business departments are enabled and motivated to initiate relevant projects. The result is a quicker implementation of new use cases, concentration on the most relevant use cases, and reusability of components or even complete use cases.

What will your priorities be over the next 12 months in your new role at Lufthansa Industry Solutions?


Dr Susan Wegner


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https://www.linkedin.com/in/dr-ing-susan-wegner-19755126/

Hartnell Ndungi

Siobhain O’Mahony

Bart Pietruszka

Hartnell Ndungi is the first Chief Data Officer in the East and Central Africa region. At Absa, he is responsible for the bank’s enterprise-wide data strategy and data governance. He specializes in setting up data organizations for large financial institutions to deliver business intelligence, data science and advanced analytics.

Siobhain O’Mahony is trained in actuarial science and joined Investec in 2012. She built the private bank’s analytics capability in South Africa, headed the rewards and loyalty program for private banking clients and became Head of Analytics for Investec Private Bank in 2016. From February 2019 to August 2020, O’Mahony also served as Head of My Investments at Investec and was tasked with building a new data-driven, digitally-led financial planning and investment business.

Bart Pietruszka joined HSBC in 2012 and became its CDO and Head of Analytics in January 2019. He is responsible for executing the bank’s data and analytics agenda in the MENAT region and generating revenue through advanced analytics and market insights. He played an active role in supporting the creation of Dubai’s data and analytics community.

CDO, Absa Kenya

Former Head of Analytics, Investec Private Bank South Africa

CDO and Head of Analytics, HSBC





51

https://www.linkedin.com/in/hartnellndungi/

https://www.linkedin.com/in/siobhain-o-mahony-762513a8/

https://www.linkedin.com/in/bart-p-218b0034/

“ Overall, with a common data model, you have the scalability in the country and, additionally, the ability to transfer it with very low costs to another country” Dr Susan Wegner VP AI and Data Analytics, Lufthansa Industry Solutions

52


My greatest professional achievement in 2019 was developing an AI system for the bank to enhance the forensic review process.

In the Risk Office, we have a responsibility of reviewing clients we flagged for various reasons as ‘high risk’. Once a client is flagged, potentially for money laundering or for tax evasion, they have to go through what’s called a forensic review process.

To make sure there’s much more consistency in this process, we developed an AI system to do the first 90% of the work.

This AI system automatically pulls data

about the customer. It creates graphs. It puts together a rationale, which is like a paragraph of statements providing the analyst with insights about why that customer is potentially suspicious.

What the analyst now focuses on is just doing quality assurance and confirming the decision about whether to retain the customer.

That was one of their biggest projects because we needed to build it from scratch. It’s an in-house built solution. It’s actually raised the efficiency in the way we do forensic reviews so much that we’re scaling this solution to other areas of the bank.

CAO – Chief Risk Office, FNB South Africa


We’ll be scaling these systems to other types of crime. We’re now even thinking of using them to develop an AI that could draft a legal contract.

Obviously, the scaling journey is

much easier now because this project gave us an opportunity to work through a proof of concept that gave us a way of approaching these types of problems.

The most difficult one is, is trying to evangelize a data- and technology-driven culture.

Obviously, we can’t keep doing things the same way we did without technology. One of the key things I did also last year was to put together a framework for model risk management

around data and around the use of data and technology.

This is basically to try and embed how we use data, how we measure the use of data and how we govern what we are doing with data, including prioritizing the key areas that the Risk Office will benefit from.


What are the key challenges you anticipate your sector’s data leaders will face this year?


Dr Mark Nasila


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https://www.linkedin.com/in/dr-mark-nasila-294b171b/

Lauchlan Wallace

Brian Ferris

Laura Cao

Lauchlan Wallace has held senior analytics and data science positions at Woodside Energy since 2014. Following a stint as the Australian petrol giant’s Head of Advanced Analytics, he became its General Manager Data Science in 2018 and was promoted to CDO in October 2019. He has a master’s degree in oil and gas engineering from The University of Western Australia.

Since 2008, Brian Ferris has held data and analytics positions at the European Central Bank, British American Tobacco, Heineken and Nike. He became CDAO of customer loyalty specialist Loyalty New Zealand in January 2019 to reinvent the company’s loyalty data and analytics with new platforms and advanced analytics capabilities. He is passionate about turning data and technology into real business value through the people in his teams.

After a four-year stint as VP and CAO at insurance company Manulife Asia, Laura Cao joined HSBC Life as its Global Head of Data and Analytics in February 2020. She previously worked for HSBC from 2008-2015, holding a series of analytics roles, including Head of Wealth Management and Insurance Analytics.

CDO, Woodside Energy

CDAO, Loyalty New Zealand

Global Head of Data and Analytics, HSBC Life





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https://www.linkedin.com/in/lauchlan-wallace-7b497419/

https://www.linkedin.com/in/brian-ferris-a053532/

https://www.linkedin.com/in/laura-cao-39810a3/

I guess the greatest professional achievements over the last couple of years for me would be putting together the right team and creating the correct culture to drive towards a lot of the executional work that we’d been doing.

The team and I really broke new ground within the bank. We were able to shift the culture at the time and move Nedbank towards a net new culture of operational machine learning. From the ‘execution’ perspective, we did a lot of good work. Nedbank is frequently deploying models into production. The bank gets a lot of value from the machine learning models we operationalized.

It’s very easy to get stuck into the technology side of analytics. Everybody talks about the platforms, the machine learning models, the math. I don’t think people are doing enough around understanding the culture or the environment in which they are trying to do the work in and trying to deploy in, and what it takes to shift a culture that is initially incentivized against your success. I mean, this stuff is the innovator’s dilemma.

I’ve had some time to reflect on my great achievements in the bank, and the reality is that I can look back and reflect with pride on the team I developed, and the people they grew into. It’s always about people at the end of the day.

Director of Data Science and Analytics, Booking.com

Prior to joining Booking.com, you were Head of Data and Data-Driven Intelligence at Nedbank. What would you say were your greatest achievements in that role?

You initially asked me this question at the beginning of 2020, and I responded: “Last year, we saw this massive rise of really big natural language processing models. We saw a huge rise in getting these big pre-trained models out, and I don’t think we as enterprises have caught up with this yet.”

Reflecting on this six months later, GPT-3 has just been released and generative algorithms are on the rise. Enterprises are getting deployment right. I feel like we’re now sitting on the precipice of the commoditization of a lot of AI solutions. I think this is both a very good and a very bad thing.

Through the pandemic, I think a lot of the known issues with machine learning

as a silver bullet have come to the fore. I wondered to myself if there wasn’t the potential for another AI winter. I think we’ve pushed through it though, and now I think we have a bunch of really interesting tools which we can toolchain together to create really valuable solutions.

So, I’m six months into answering your question, and I’m already eating my words. I think in another six months’ time we’ll be bedding down ML solutions us useful and commoditized tools in many of our products. I think we will have developed a better language for requirements and know when to use the tooling appropriately. My hope is that a lot of the hype will be gone, so that we can focus on the value again.

How do you think the data and analytics space in the Middle East and Africa will look for your industry 12 months from now?


Guy Taylor


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https://www.linkedin.com/in/guytaylor/

https://www.technologyreview.com/2020/07/20/1005454/openai-machine-learning-language-generator-gpt-3-nlp/

Shreya Goswami

Graeme McDermott

Maciej Kaliszka

As Absa’s first female regional CDO, Shreya Goswami leads data strategy and transformation for 10 distinct banks in Africa. With 17 years’ financial services experience, she has successfully used big data platforms, business insights, predictive analytics and AI capabilities to transform the data journey across the regions under her leadership. Her team won the Best Technology Initiative – Rest of the World Award at the 2019 Financial Innovation Awards.

Graeme McDermott started his new role as CDO at insurance broker Tempcover in September 2020. He previously spent four years revitalizing taxi and courier company Addison Lee’s underperforming data function. Through building the firm’s data asset, repairing its BI function and creating a visualization and insight function, he delivered annual manpower savings of £1 million.

Maciej Kaliszka was Head of Data Product Management at Barclays Africa Group before it rebranded as Absa Group. He became Absa’s CDO for Corporate Investment Banking in June 2018. During his six-year tenure at the organization, he has been responsible for omni-channel analytics, master campaign management, digitizing management information, data product management and data product development.

CDO, Absa Regional Operations

CDO, Tempcover

CDO: Corporate Investment Banking, Absa





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https://www.linkedin.com/in/shreyagoswami/

https://www.linkedin.com/in/graememcdermott/

https://www.linkedin.com/in/maciej-kaliszka-2014243b/

Let’s start off with the FEAT principles. The reason I’m proud of this achievement is because it is, to my knowledge, the first time a financial regulator has backed essential principles that are intended for the use of AI within the financial sector.

The field of AI still has many unknowns. We may not yet know what needs to be regulated and how best to regulate it. Therefore, we have taken a non-prescriptive, principle-based approach, working in collaboration with the industry. That has resulted in a guide both for the industry as well as the regulator.

While the FEAT principles are essentially a ‘philosophy’ of how we

should be thinking about the use of AI in the financial sector, the Veritas initiative goes one step further and says, ‘How do we actually implement this? How do we make sure that the applications of AI truly adhere to these principles that we’ve agreed to?’

Finally, a third ‘achievement’ is the work that we have been doing on facilitating cross border data connectivity. The Monetary Authority of Singapore recently gave a joint statement with the US Treasury highlighting the importance data connectivity across borders for financial development.

Senior Advisor for Data and AI, UnionBank of the Philippines

What were your greatest professional achievements in 2019, during your tenure as Special Advisor (AI) to the Monetary Authority of Singapore?

We are slowly uncorking the field to certain extent about these AI and data questions. However, now we need to follow through with concrete applications and use cases while concurrently achieving data privacy and data security.

In other words, we need to show that these are possibilities that are truly beneficial and of value to corporations,

consumers and are also of value to the regulatory environment, in terms of better management of risks.

Having established the data science practice, canvassing policy to implementation, in a regulator and central bank, I am looking forward to operationalizing AI within a financial institution.

How will you be looking to build on this work through 2020?


Dr David Hardoon


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https://www.linkedin.com/in/davidrh/

https://www.mas.gov.sg/news/media-releases/2018/mas-introduces-new-feat-principles-to-promote-responsible-use-of-ai-and-data-analytics

https://www.straitstimes.com/business/economy/mas-financial-sector-to-develop-framework-for-responsible-use-of-ai

https://home.treasury.gov/news/press-releases/sm899

“ We have taken a non-prescriptive, principle-based approach, working in collaboration with the industry. That has resulted in a guide both for the industry as well as the regulator”Dr David Hardoon Senior Advisor for Data and AI, UnionBank of the Philippines

58


Bayo Adekanmbi

Maritza Curry

Zjaen Coetzee

Bayo Adekanmbi leads telecoms group MTN’s digital transformation program in Nigeria, as well as the MTN Nigeria Innovation practice. He was previously the organization’s Chief Marketing and Strategy Officer and oversaw a 21.3% growth in data revenue and 84.6% increase in 3G device penetration over the course of his tenure.

Maritza Curry has worked in data and analytics roles in South Africa and Australia since 2001. She has been focused on helping organizations formulate and execute their data strategies since 2012 and became Head of Data at financial services company RCS Group in November 2019. She has an MBA from the University of Stellenbosch Business School.

Zjaen Coetzee rejoined Telkom as its Head of Data Insights Management in March 2019, following a two-year stint at IT services company BCX. He first joined the African telecoms company as a Data Analyst in 2011. He has a master’s in computer science from North West University Potchefstroom and is a Pastor at Christ Generation Church Centurion.

Chief Transformation Officer, MTN

Head of Data, RCS Group

Head of Data Insights Management, Telkom





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https://www.linkedin.com/in/bayoadekanmbi/

https://www.linkedin.com/in/maritzacurry/

https://www.linkedin.com/in/zjaencoetzee/

The last few years have seen an explosion in the breadth of technology, capabilities, suppliers, regulatory frameworks and trust expectations surrounding the ability to create value from digital and data. However, this growth hasn’t been evenly distributed.

Different geographies have different

peculiarities which greatly impact strategy and execution.

So, 2019 was exciting for me because of the opportunity to successfully work through how these factors play out in geographies as diverse as China, India, the Middle East, Australia, New Zealand and Europe.

Partner and Director – Data and Digital Platforms, The Boston Consulting Group


The continued expansion of these factors between geographies presents constant opportunities to apply learnings from elsewhere and actively look for opportunities to do things differently.

Deliberately cross-pollinating opportunities between industries and

policy areas is another area of focus, especially given the increasing focus on the role data and technology plays in trust and engagement, both in the private and public sectors.

AI is on a general trajectory to become broader, more generalized and easier to use through 2020 and beyond.

Most applications in production are still solving relatively narrow problems across fairly narrow channels. But the global leaders are already pushing the breadth of these solutions through a combination of agile software development practices, making smarter use of diverse technology ecosystems

and drawing from wider, deeper and more diverse data.

The main evolutions through 2020 will be an increase in the growth of embedded-but-narrow AI systems within packaged applications, along with the competitive pressure to increase the width and generalizability of bespoke AI applications. Classic predictive modelling has become table stakes in most industries within the developed economies.


How you think the way organizations use AI technologies will evolve over the course of 2020?


Evan Stubbs


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https://www.linkedin.com/in/evanstubbs/

Pedro Uria-Recio

Louise Barber

Brett Woolley

Pedro Uria-Recio is leading telecoms conglomerate Axiata’s group-wide analytics and AI transformation. He built a team of 50 data scientists, digital developers and marketing specialists from scratch, who generated USD $86 million through marketing analytics in 2018. His work helped to win Axiata the 2019 Cloudera Data Impact Award in the Industry Transformation category.

Louise Barber has led Australian airline Qantas’ group-wide strategy and roadmap for data, analytics and AI since April 2019. Her responsibilities include executive leadership engagement, stakeholder management and implementing a modern data and analytics architecture. She was previously Head of Enterprise Data and Analytics at AGL Energy.

Brett Woolley joined QBE as its Head of Data Governance and Strategy in August 2019, following a stint as Head of Consulting, Architectural and Digital at IT services company Datacom. He was previously Head of Data at National Australia Bank and has a Master of Arts degree in management from Macquarie Graduate School of Management.

Group Head of Data Analytics and AI, Axiata Analytics Center

Head of Data Analytics, Insights and AI, Qantas

Head of Data Governance and Strategy, QBE Insurance





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https://www.linkedin.com/in/uriarecio/

https://www.linkedin.com/in/louisembarber/

https://www.linkedin.com/in/brett-woolley-579b162/

Negotiating the demands of our regulators while deploying a comprehensive data management framework and working with business divisions to create value and opportunity from internal and external data.

We are leveraging core tools and processes to provide multiple solutions to specific opportunities with limited incremental cost and effort. It is about the careful deployment of proven capabilities to an increasingly broad user base.

The ethical use of data to balance the needs of shareholders and clients. It is a broad subject, but a series of clearly defined and enforced principles will provide the solid foundation needed.

There has been a lot of talk about how data analytics and AI can transform the industry, but this is dependent on reliable, high quality data. The more AI is explored, the more this will become apparent. The focus will then turn to fixing the foundations of data to improve its quality.

Having strong data governance and having the ability to hold identifiable data owners accountable for quality and helping them fix data issues that they may not even be aware of remains highly important.

Each day it is possible to hear about new and interesting use cases about how data can be leveraged, and AI utilised to improve customer experience or enhance efficiency.

This year will see further incremental developments in this area with a greater focus on being able use data to ‘join the dots’, whether it is across processes, clients or products, both internally and externally. Those who can get the right data in the hands of the right people at the right time will realize significant value.

Group CDO, Credit Suisse




What are the key challenges your sector’s data and analytics leaders will face this year? And how can they be overcome?

What new ways do you think financial services organizations will be using data, analytics and AI by the end of 2020?

Dr Adrian Pearce


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https://www.linkedin.com/in/adrianpearce1/

Jean Tranter

Richard Wingfield

Dr Amy Shi-Nash

Jean Tranter has held several senior analytics roles at The Foschini Retail Group since 2008 and leads its Analytics Centre of Excellence. His focus areas include lead generation, customer analytics and merchandise analytics. He also oversees the use of predictive models and optimization solutions to support credit life cycle decisions and the group’s customer engagement strategy.

Richard has held three C-Level positions within Emirati billionaire Majid Al Futtaim’s shopping mall, communities, retail and leisure empire. He was named CIO in 2016 and then CTO in 2017 before becoming Al Futtaim’s CDO in 2019. During his time as CTO, he spearheaded a digital transformation that included the deployment of advanced analytics technologies across the organization.

Dr Amy Shi-Nash is responsible for developing HSBC’s group-wide analytics and AI capabilities, working with HSBC’s global businesses and functions to accelerate their adoption at scale. Her previous roles include General Manager, Group Data Science at Commonwealth Bank and Chief Data Science Officer, DataSpark at telecoms group Singtel. She has 20 years of global experience in analytics and data science.

Head of Analytics, The Foschini Retail Group

CDO, Al-Futtaim

Global Head of Analytics and Data Science, HSBC





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https://www.linkedin.com/in/jean-tranter-390389b/

https://www.linkedin.com/in/richard-wingfield-0584551/

https://www.linkedin.com/in/amyshinash/

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About the Editor

Solomon Radley is an experienced editor and reporter with a deep understanding of the data, analytics and CX space and close relationships with many of the sectors’ most prominent C-Level executives.

He works with data and analytics, learning and development and customer experience leaders to champion new innovations and highlight how the world’s most forward-thinking brands are using data to fuel their digital transformations.

To share your data story or enquire about appearing in a Corinium report, blog post or digital event, contact him directly at [email protected].

Solomon Radley Global Content Strategist, Corinium Global Intelligence

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