Queens University

Business Intelligence in the real world

Gareth Diamond

www.pwc.com

PwC

Contents1. Introduction

2. PwC

3. What is Business Intelligence and Analytics?

4. Why do businesses need BI&A?

5. Business challenges in implementing BI

6. BI isn’t new, so what’s different?

2

PwC

1. Personal Introduction

Gareth Diamond

Senior Manager in our Information Management team in NI which consists of 4 distinct areas;

• Information Architecture Strategy & Governance

• Business Intelligence & Analytics

• Enterprise Data Management

• Enterprise Content Management

Companies our team are currently supporting include;

• Jaguar Land-rover• Heineken • Royal Bank of Scotland• BBC• Rolls Royce• Torus 3

• Lehman Bros (IA)• Reed Elsevier• AstraZeneca• Guys & St Thomas Hospital• BAE

PwC

Who are PwC?

•The world’s largest professional services firm

•Operating in 154 countries and in 39 locations across the UK

•16,000 staff in the UK and 169,000 globally

•Turnover of £2.4bn in the UK and $29.2bn globally

•The UK’s largest private sector graduate recruiter

•Graduate Employer of Choice in the UK every year since 2004

PwC

Who are PwC?

“As professional advisers we help our clients solvecomplex business problems and aim to enhance their ability to add value, manage risk and improve performance.”Our business areas:

PwC

PwC facts

Number one in The Times Top

100 Graduate Employers survey for the last 9

years running

Consultancy of the Year at the 2011 Business Green Leaders Awards

The Times Top 50 Employers for Women

2012

5th position in the Times Best Big Companies

to work for 2012 (highest of the

Big Four)

Over 1200 full time and 700

intern positions for 2013

Over 4,900 of our people took time out of their

working day to take part in volunteering projects

in 2011

Belfast based

Centres of Excellence

3rd place in Rate My

Placement awards beating

our key competitors

PwC

Graduate opportunities

Graduate positions• Full time graduate roles in Consulting• Degree discipline’s particularly welcome:

- IT- Technology - Business- Finance- Science- Engineering- Mathematical

• At least 340 UCAS points (or equivalent) • 2:1 or above degree • You can now apply for Autumn 2013 intakes.

PwC

1. Lecture Introduction

The aim of these lectures is to give you a non technical perspective of how BI&A (Business Intelligence and Analytics) is used in the real world, including;

• What businesses define as BI

• How businesses are using BI to help solve business issues

• What is stopping businesses realising the value of BI

Our 2nd Lecture will focus on the latest People, Process and Technology which are found in an organisation and how to resolve some of the key issues they face.

• The emerging trends in BI

• The new approaches businesses are taking to implementing BI to realise benefits

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2. What is Business Intelligence and Analytics?

Enterprise Reporting

Scorecards

Mobile BIBusiness Process Modelling

Predictive Analytics

Text Mining

Data Visualisation

Data Mining

OLAP Analysis

BI Competency

Centre

Modelling

Alerts and Notifications

BI Strategy

and Roadmap

Dashboards

Forecasting

• BI&A is the collective term for strategies, methods and tools that empower an organisation to unlock value from their data.

• It is the key to an organisation making better decisions using relevant, reliable and timely data.

•Without it, businesses would make poor decisions based on gut instinct alone.

Data Cubes

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Pro

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2. BI&A Taxonomy

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Infrastructure and Tools“What Technologiesdo I need to support BI&A ?”

Reporting“What Happened ?”

Analysis“Why did it Happen ?”

Monitoring“What is Happening Now ?”

Prediction “What is going Happening ?”

Operational Reporting

Alerts and Notification

Scorecards Dashboard

Predictive Analytics

Forecast and Modelling

Query/Drill DownStatistical Analysis

Data/Text Mining

Real Time Descision Making

Data Structures (ODS, OLAP Cubes etc)

Tool Installation and

Configuration

Strategy, Architecture and Governance “How does BI operate in the firm?”

BI StrategyBI Operating

ModelBI Architecture

Policy and Compliance Definition

Hardware Infrastructure

Data Visualisation

Financial Reporting

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2. Different components provide organisations with different levels of competitive advantage

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2. BI&A Taxonomy – Finance and Operation Reporting

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• Enterprise reports are the most commonly used reports within the business

intelligence world encompassing a vast array of operational reporting directly

from ERP, CRM.

• The vast majority of these reports are web base as companies look for

simple access to enable decision making at all levels of the organization.

• Static report usually presented in tabular format.

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2. BI&A Taxonomy – Monitoring

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Dashboards

•Dashboards provide “at a glance” information about current business performance across an organisation.

•They are used to present key matrices that an organisation wishes to measure.

Scorecards

•A scorecard or balance scorecards is a strategic planning and management tool which is used to help align business activities to the vision and strategy of the organisation.

Alerts and Notifications

•The process of alerting and notifying key business stakeholders at particular time or event

•These are automated messages or signals send via email, sms etc to indicate that an event or certain condition has been reached and that some action is required.

Real Time Decision Making

•The process of minimizing the time from the business event happening to delivering information and analytics to enable a corrective action or notification to be initiated and business processes optimized.

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2. BI&A Taxonomy – Analysis

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Data Visualisation

•The process of visualizing data and information using graphics, animation etc in order to draw out meaningful patterns and analysis.

Data / Text Mining

•The process of extracting previously unknown patterns from large volumes of data.

Query/Drill Down

•A set of operations which enable the user to query or drill down from summary information to detail data.

Statistical Analysis

•The process of applying a set of mathematical techniques to understand key correlations and relationships within the data.

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2. BI&A Taxonomy – Prediction

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Forecast/Modelling

• The process of developing models to understand the impact that different financial or commercial decision will have on various operational and financial aspects of an organisation.

Predictive Analytics

• A set of techniques that analyze current and historical facts to make predictions about future events.

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Pro

vid

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P

latf

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for

BI&

A

Deri

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rom

Data

2. BI&A Taxonomy

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Infrastructure and Tools“What Technologiesdo I need to support BI&A ?”

Reporting“What Happened ?”

Analysis“Why did it Happen ?”

Monitoring“What is Happening Now ?”

Prediction “What is going Happening ?”

Operational Reporting

Alerts and Notification

Scorecards Dashboard

Predictive Analytics

Forecast and Modelling

Query/Drill DownStatistical Analysis

Data/Text Mining

Real Time Descision Making

Data Structures (ODS, OLAP Cubes etc)

Tool Installation and

Configuration

Strategy, Architecture and Governance “How does BI operate in the firm?”

BI StrategyBI Operating

ModelBI Architecture

Policy and Compliance Definition

Hardware Infrastructure

Data Visualisation

Financial Reporting

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2. BI&A Technologies

2011 Magic Quadrant for Business Intelligence Platforms • The Magic Quadrant for Business Intelligence Platforms presents a global view of Gartner's opinion of the main software vendors that should be considered by organizations seeking to develop BI applications.

• PwC have a strategic focus on key BI Platforms found in the Challengers and Leaders Quadrant:

•Oracle•Microsoft•SAP Business Objects•SAS•Qlikview•Tableau•Spotfire

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Prediction

Analysis

Reporting

Monitoring

What is going to Happen?

What Happened?

Why did it Happen?

What is Happening Now?

BI&A

3. Business Intelligence and Analytics enables organisation to understand….

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3. Why do businesses need BI?

Benefits of BI&A

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4. Managing risk & reputation

1. Regulatory reporting Southern Water (£20m+) Thames Water (£12m) Goldman Sachs (£17m+)

2. Risk Management ENRON Lehman Bros (IA)

3. Reputational Risk HMRC (incorrect Tax

calculation) EDF (billing) TalkTalk (billing)

BI Maturity - level 1

• ‘Keep us out of jail/headlines’

• Businesses are usually better prepared for this type of reporting

• Statutory submissions e.g. Annual accounts are well practiced

• Underpinning Data is usually highly governed

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4. Managing business complexity

1. Reduce Costs Procurement Analysis Materials management Profitability

2. Improve operations Process improvement Workforce effectiveness Sales force management

3. Enable business strategy

Mobile BI Supplier collaboration

BI Maturity - level 2

• ‘Do what we do, well’

• Businesses have some of this capability

• Usually delivered via stand-alone, ‘silo’d’ operational systems e.g. ERP, CRM etc

• Underpinning Data is governed on a system by system basis

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4. Growing the business – From hindsight to Insight

1. Customer Insight Customer Analysis (Tesco) Interests/Preferences

(Elsevier) Customer Service (Vodafone)

2. Cross-sell/Up-sell Personalised services

(Amazon)

RBS (banking, insurance)

3. Market Intelligence Market Trends – on-line

music Product trends - Apple

BI Maturity - level 3

• ‘What else could we do?’

• Businesses are keen to develop this but pre-requisites often don’t exist i.e. skills, data, tools etc

• New skills require business insight with technical skills

• Underlying data in different formats, in different systems, lack of external standards,

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5. Business Challenges in implementing BI

1.Unclear Business objectives

2.Ownership – CFO, CIO?

3.Business buy-in due to

previous failures

4.Business changes

5.Lack of Skills

• Business

• Technical

6.Requirements are Technology

led

7.Existing technology

complexity

8.Data Quality

9.Implementation approach

10.Cost & Return on investment

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6. BI isn’t new, so what’s different?

1.Competitive advantage – what value is first mover advantage?

2.Rapidly changing external environment e.g.• Market – need to be more competitive and reduce

costs• Regulations – increasing post the crash on all

businesses• Shareholders – want better performance and

transparency• Customers – demanding greater value for money

3. Information overload - ‘drowning in data but starved for knowledge’ (John Naisbitt)

4.Technology investments failing to deliver promised RoI; • Lack of business ownership• ERP & Operational/’silo’d’ reporting solutions• Data is not managed as a corporate asset

This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it.

© 2011 PricewaterhouseCoopers LLP. All rights reserved. In this document, “PwC” refers to PricewaterhouseCoopers LLP which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal entity.

Business Intelligence and Analytics

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