Big Data & Analytics Innovation

Business success through data-drive insight

19th & 20th September, 2013Sydney | Australia

Confirmed Speakers

Confirmed Speakers

• Head of Customer Intelligence, Sportsbet

• Chief Governance Officer, Queensland Health

• Chief Operating Officer, Australian Bureau of Statistics

• Director, Strategy & Information, Macquarie University

• Manager, Strategy & Analysis, Nike

• Strategic Data Mining Analyst, Pacific Brands

• Credit Risk Analyst, Westpac

• Big Data Developer, The Integral Institute

Previous Speakers Include

Past Delegates include

• Solution Architect, NetApp

• Vice President, HSBC

• Head of IT Solutions, Cathay Pacific

• APAC Lead, Estee Lauder

• Director, Cloud Services, BT

• Head of Enterprise, Amazon

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level execut ives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

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The Big Data & Analytics Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.As many organizat ions are now work ing with unmanageably large data sets, the importance of using and maintaining an analytics platform which can cope with this scale of information is essential. This presents both a challenge and opportunity as organizations must identify patterns and gain actionable results in order to gain a crucial advantage over competitors. I l lustrated

intermittently with case studies, interactive panel sessions and deep-dive discussions, this summit offers solutions and insight from the leaders operating in the Big Data space. Big Data Innovation will help your business understand & utilize data-driven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, security and disruptive tools & technologies.

About The Summit

Confirmed Speaker Information

Tony has 6+ years digital strategy experience with a history of success in establishing online growth for a number of different companies from a variety of different industries in the UK, Ireland, Australia and New Zealand. In his role at Sportsbet.com.au he is responsible for providing the analytical insights that drive strategic online marketing decision making and ensures that Sportsbet.com.au stays ahead of the competition in this competitive and fast moving dynamic industry.

The Future of Big Data

‘Big Data’ is more than just a buzzword. It encompasses a range of different disciplines that enable businesses to make more informed strategic decisions and ultimately make positive impacts to their bottom line. However, the whole ‘Big Data’ concept is a rapidly evolving notion. As a result, many of the ideas relating to this field are more theoretical than practically applied. Over the next couple of years this is going to change. This discussion talks about what the ‘Big Data’ landscape will look like and discusses s o m e o f t h e t h i n g s t h a t b u s i n e s s e s s u c h a s Sportsbet.com.au are currently working on that will shape this fascinating area in the coming years.

Tony GruebnerHead of Customer IntelligenceSportsbet.com.au

Strategy & Information Director of Macquarie University leading   the teams who produce actionable insights   to assist the University to remain at the forefront of academic and research excellence in Australia.   Areas of interest big data analytics, marketing science, visual and unstructured analytics. Teaching a course at the MGSM as part of their Business Analytics Program run in conjunction with SAS In the last 15 years he has worked widely in the Business Intelligence and Analytics industry. Neil have worked at executive levels within Macquarie University, Vodafone Australia , Vodafone New Zealand , Singtel Optus and Hutchison 3G Australia delivering Analytics and reporting.

Applications of Big Data: From Machine Learning to Strategy Development

What are the main fields research into Big Data, Who is teaching this in Australia. What are the evolving applications of Big Data? How do we visualize these Application outputs. Some case studies Research Analytics:

- Geosentiment :Locating Social sentiment for assessing risks and opportunities gives a unique and competitive insight into marketing, sales and brand events.   Locate the geo hotspots relating to your major events

- Strategy Development : Utilising unstructured Big Data to support the development of Macquarie University's 10 year strategy Integrating open data from sources such as government records, social media and mobile to create a more detailed understanding of your market. 

Neil FraserDirector, Strategy & InformationMacquarie University

Previous Speakers Include

David is responsible for managing Standard Chartered Bank’s global market data expenditure.  David has over 20 years experience in Finance and Banking technology, having previously worked for Nomura, Lehman Brothers and Goldman Sachs. At Standard Chartered, David has transformed Market Data from being a support function into a virtual business group which is almost entirely recharged back to active users on a month to month basis.  Changing Market Data into a business team required an overhaul of the financial recharge systems and processes and the implementation of a centralized cost management and MIS system.  The next phase of this transformation will be providing the users with ‘Market Data as a Service’ via an integrated portal.

Steps toward a Traders personal P&L

Most large financial organizations struggle to really be sure which areas of the business are most profitable.   The old 80/20 rule often applies, when it is carefully analysed 20% of the traders or groups generate 80% of the profits.   Cost Centre accounting provides one view, but significant expenses are often hidden at a group level, and technology costs in particular are often reallocated using arbitrary measures.   To understand whether an individual trader or team are in the red or black it is necessary to allocate costs at a much more granular and precise level than is standard practice. As a result of the current market and regulatory pressures the financial industry is inevitably heading to a type of personal P&L.

David DaviesGlobal Head of Market Data Control,Standard Chartered Bank

Mr. Clarkson is a developer and designer who has been working in the algorithmic trading space since 2005.   He has led teams at DeutscheBank and J.P. Morgan developing high-performance, soft realtime, event-driven applications in the proprietary trading space.  Prior to that, he was a consultant at ThoughtWorks, implementing high-end enterprise applications and training Agile development techniques for some of the world's top companies.

Algorithmic Trading and Distributed Computing Expert

The emergence of new business models which depend on the collection and processing of massive quantities of data

in near-real time on a near 24-hour basis has outpaced the capabilities of traditional application and infrastructure architectures.  To solve this problem, large web firms have developed a "Modern" approach to system design and the organisational structure required to support them.  These models will increasingly become of greater importance in all industry, as companies look to build systems that can unlock the potential of the data in their enterprise and on the Internet. In this talk, Matt will cover topics including: application architectures for massively parallel systems, server virtualisation, distributed databases, as well as the key role of build and testing process automation and the structure of the IT organisation of the future which will be required to support these systems.

Matt ClarksonVP, High Frequency TradingDeutsche Bank

David ZhaoSenior Product Manager, Chief Product Owner, Experiment, Search and PlatformeBay

eBay’s Exploration of Transforming Big Data Challenge Into Consumable Data Product

To take advantage of the big data asset of a world class eCommerce company that produces over 150TB of data every day from both desktop and mobile devices, and to apply the appropirate technical solutions to address the horizontal needs of data and analytics across different functional business units worldwide, eBay's global data and analytics platform team applied product discovery and development approaches at the conjunction of big data technical challenges, usability frictions and value proposition implications, to create the big data product solutions that 'activate' the data and deliver insights to the users.

David Zhao, Senior Product Manager of eBay's global data and analytics platform, and Guest Lecturer at School of Software Engineering of Tongji University. He leads a product development organization of engineers, analysts and data scientist in both US and China that transforms eBay's big data into consumable and actionable data products, that enables interactive analyzes, advanced visualization and behavioral pattern modeling around eBay's mobile, search, vertical and personalized shopping experiences worldwide.

The Information

IE. Membership

$600Over 500 hours of industry on-demand presentations. View & download keynote

presentations

$600

Silver Pass

$695Access to all sessions &

networking events

$495Introductory Price(before August 2)

Gold Pass

$995Access to all sessions, networking

events & annual subscription to IE. membership

$795Introductory Price(before August 2)

Registration Pricing

Big Data & Analytics Innovation SummitDate: 19th & 20th September, 2013Location: Sydney Country: Australia

For larger groups or special requests contact Daniel by calling +61 2 8011 3007 or email dwatts@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 323 446 7673 Big Data & Analytics Innovation Summit Website

Group Discount Offers3 Silver Passes: $1350 ($450 per attendee)5 Silver Passes: $2000 ($400 per attendee)3 Gold Passes: $2250 ($750 per attendee)5 Gold Passes: $3500 ($700 per attendee)

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+61 2 8011 3007

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COMPANY INDUSTRY

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1. Delegate Information...

2. Pass Types...Early Bird Pass Options until August 2, 2013

Early Bird Silver: $495 Attendees ____ Early Bird Gold: $795 Attendees ____ IE. Membership: $600 Attendees ____

Regular Pass Options after August 2, 2013 Silver Pass: $695 Attendees ____ Gold Pass: $995 Attendees ____ IE. Membership: $600 Attendees ____

Group Discount Pass Options 3 Silver Passes $1350 ($450 per attendee) 5 Silver Passes $2000 ($400 per attendee) 3 Gold Passes $2250 ($750 per attendee) 5 Gold Passes $3500 ($700 per attendee)

For larger groups or special requests contact Daniel by calling +61 2 8011 3007 or email dwatts@theiegroup.comGroup passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & annual subscription to IE. membership

Invoice me

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CARD NUMBER EXPIRATION DATE SECURITY NO.

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before 15th August, 2013 incur an administrative charge of 50%. If you cancel your registration after 15th August, 2013 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormBig Data Innovation Summit19th & 20th September, 2013 | Sydney | AustraliaFor registration or more information on the program, please call Daniel on +61 2 8011 3007, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

Schedule

Networking Drinks 17.00 - 19.00

20th September

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

19th SeptemberDay One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

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Previous Sponsors

For sponsorship information contact Lin at lduan@theiegroup.com

Previous Sponsor Previous Sponsor

Previous SponsorPrevious Sponsor

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NovemberBig Data & Marketing Innovation SummitNovember 13 & 14Miami

Data Science Leadership Summit November 14 & 15Chicago

Big Data FestNovember 27London

Big Data Innovation SummitNovember 28 & 29Beijing

DecemberBig Data in FinanceSummitDecember 5 & 6New York

OctoberBig Data & Predictive Analytics Summit October 17 & 18Dublin

Big Data InnovationSummitOctober 31 & November 1Mumbai

AprilWomen in Big Data & Tech SummitApril 11 & 12San Francisco

Big Data Innovation SummitApril 11 & 12San Francisco

Hadoop Innovation SummitApril 11 & 12San Francisco

Data Visualization SummitApril 11 & 12San Francisco

Big Data Innovation SummitApril 18 & 19Hong Kong

Big Data Innovation SummitApril 30 & May 1London

JanuaryBig Data Innovation SummitJanuary 30 & 31Las Vegas

FebruaryHadoop InnovationSummitFebruary 20 & 21San Diego

JuneBig Data Innovation Summit June 13 & 14Singapore

Big Data & Analytics for PharmaJune 12 & 13Philadelphia

Big Data Innovation SummitJune 20 & 21Toronto

Big Data & Analytics in Retail June 20 & 21Chicago

MayBig Data & Analytics in Healthcare May 15 & 16Philadelphia

Big Data & Advanced Analytics in Government May 23 & 24Washington, DC

SeptemberBig Data Innovation SummitSeptember 12 & 13Boston

Data Visualization SummitSeptember 12 & 13Boston

Big Data Innovation SummitSeptember 19 & 20Sydney

Partnership Opportunities: Pip Curtis | pcurtis@theiegroup.com | +1415 992 5349 Attendee Invitation: Sean Foreman | sforeman@theiegroup.com | +1415 692 5514

Big Data 2013 CALENDAR

Women

Finance

CXO Healthcare

Expected

Flagship

Government

High Tech Pharma

Hadoop

What you get...• Access to over 1000 hours of On-demand training on topics that are important to you, like S&OP, FP&A, Predictive

Analytics , Supply Chain, Strategic Planning, Inventory Optimization, Integrated Business Planning and more• Access to our extensive training library. Whenever your team needs to benchmark or gain some key actionable ideas,

they just watch a quick video.• Monthly newsletters with industry insights and important news - vital for up-to-date info and methodology.

Affordable. Cutting Edge. Convenient. Invest in innovative business education that will help you benchmark and validate current and future initiatives that can be leveraged to optimize business results and effective decision making. IE. membership content spans numerous industry sectors and includes presentations from many of the world’s leading companies.

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What is the IE. Network?IE. is the premier forum for Finance, Operations Planning & Business Analytics education. Gain insight and optimize results with un-biased actionable business education available on-demand and delivered by your peers. Stay on the cutting edge of the latest trends within S&OP, FP&A & Business Analytics, all without having to leave your desk.

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