Queens University

Report
www.pwc.com
Queens University
Business Intelligence in the
real world
Gareth Diamond
Contents
PwC
1.
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
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;
•
•
•
•
•
•
PwC
Jaguar Land-rover
Heineken
Royal Bank of Scotland
BBC
Rolls Royce
Torus
•
•
•
•
•
Lehman Bros (IA)
Reed Elsevier
AstraZeneca
Guys & St Thomas Hospital
BAE
3
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 solve
complex 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
3rd place in Rate
My Placement
awards beating
our key
competitors
Over 1200 full time
and 700 intern
positions for 2013
The Times Top 50
Employers for Women 2012
PwC
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
Consultancy of the Year at
the 2011 Business Green
Leaders Awards
5th position in the
Times Best Big
Companies to work
for 2012 (highest of
the Big Four)
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
PwC
8
2. What is Business Intelligence and Analytics?
• 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.
Enterprise
Reporting
Data Mining
Modelling
Alerts and
Notifications
Data
Visualisation
BI Strategy
and
Roadmap
OLAP
Analysis
Predictive Analytics
BI Competency
Centre
Data Cubes
Forecasting
• Without it, businesses would make
poor decisions based on gut instinct
alone.
Scorecards
Business Process
Modelling
PwC
Text Mining
Dashboards
Mobile BI
9
2. BI&A Taxonomy
Predictive Analytics
Forecast and
Modelling
Query/Drill Down
Statistical Analysis
Data/Text Mining
Data Visualisation
Monitoring
“What is Happening Now ?”
Scorecards
Dashboard
Alerts and
Notification
Real Time
Descision Making
Reporting
“What Happened ?”
Operational
Reporting
Financial Reporting
Provides Platform
for BI&A
Derive Value from Data
Prediction
“What is going Happening ?”
PwC
Analysis
“Why did it Happen ?”
Strategy, Architecture and
Governance
“How does BI operate in the firm?”
Infrastructure and Tools
“What Technologies
do I need to support BI&A ?”
BI Strategy
BI Operating Model
BI Architecture
Tool Installation
and Configuration
Data Structures
(ODS, OLAP Cubes
etc)
Hardware
Infrastructure
Policy and
Compliance
Definition
10
2. Different components provide organisations with
different levels of competitive advantage
PwC
11
2. BI&A Taxonomy – Finance and Operation Reporting
• 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.
PwC
12
2. BI&A Taxonomy – Monitoring
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.
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.
PwC
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.
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.
13
2. BI&A Taxonomy – Analysis
Data Visualisation
•The process of visualizing data and information
using graphics, animation etc in order to draw
out meaningful patterns and analysis.
Query/Drill Down
•A set of operations which enable the user to query
or drill down from summary information to detail
data.
PwC
Data / Text Mining
•The process of extracting previously unknown
patterns from large volumes of data.
Statistical Analysis
•The process of applying a set of mathematical
techniques to understand key correlations and
relationships within the data.
14
2. BI&A Taxonomy – Prediction
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.
PwC
Predictive Analytics
• A set of techniques that analyze current and
historical facts to make predictions about future
events.
15
2. BI&A Taxonomy
Predictive Analytics
Forecast and
Modelling
Query/Drill Down
Statistical Analysis
Data/Text Mining
Data Visualisation
Monitoring
“What is Happening Now ?”
Scorecards
Dashboard
Alerts and
Notification
Real Time
Descision Making
Reporting
“What Happened ?”
Operational
Reporting
Financial Reporting
Provides Platform
for BI&A
Derive Value from Data
Prediction
“What is going Happening ?”
PwC
Analysis
“Why did it Happen ?”
Strategy, Architecture and
Governance
“How does BI operate in the firm?”
Infrastructure and Tools
“What Technologies
do I need to support BI&A ?”
BI Strategy
BI Operating Model
BI Architecture
Tool Installation
and Configuration
Data Structures
(ODS, OLAP Cubes
etc)
Hardware
Infrastructure
Policy and
Compliance
Definition
16
2. BI&A Technologies
• 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.
2011 Magic Quadrant for Business Intelligence Platforms
• PwC have a strategic focus on key BI
Platforms found in the Challengers and
Leaders Quadrant:
•
•
•
•
•
•
•
PwC
Oracle
Microsoft
SAP Business Objects
SAS
Qlikview
Tableau
Spotfire
17
3. Business Intelligence and Analytics enables
organisation to understand….
What Happened?
Reporting
What is going
to Happen?
Prediction
BI&A
Analysis
Why did it
Happen?
Monitoring
What is Happening Now?
PwC
18
3. Why do businesses need BI?
Benefits of
BI&A
PwC
19
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)
PwC
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
20
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
PwC
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
21
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
PwC
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,
22
5. Business Challenges in implementing BI
1. Unclear Business objectives
6. Requirements are Technology led
2. Ownership – CFO, CIO?
7. Existing technology complexity
3. Business buy-in due to previous 8. Data Quality
failures
4. Business changes
9. Implementation approach
10.Cost & Return on investment
5. Lack of Skills
• Business
• Technical
PwC
23
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
PwC
24
Business Intelligence and Analytics
Any Questions?
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.

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