1. ETIS Business Intelligence & Data Warehousing Working Group, Athens
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BI GOVERNANCE
MODELS & STRATEGIES
David M. Walker
April 15, 2010 Data Management & Warehousing

2. Straw Poll – What can you do?
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 Is your BI programme allowed to define
organisational structures outside the company
programme and project norms?
 Does your IT organisation have an effective change
management process?
 Are your business users really ready and prepared
to change their working practices in order to adopt
BI and facilitate its production?
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

3. What is governance?
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 BI governance, like other governance subjects, is the
responsibility of the board and executives.
 It is not an isolated discipline or activity, but rather is
integral to IT and enterprise governance.
 It consists of the leadership and organizational
structures and processes that ensure that the enterprise’s
BI solution sustains and extends the enterprise’s
strategies and objectives.
 Critical to the success of these structures and processes
is effective communication among all parties based on
constructive relationships, a common language and a
shared commitment to addressing the issues.
Derived from “Board Briefing On Governance” by the IT Governance Institute (http://www.isaca.org)
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

4. BI Governance Framework
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Provide
Direction
Set Objectives BI Activities
• BI is aligned with the • Increase automation in the
business delivery of information
• BI enables the business and (make the business effective)
maximises benefits • Decrease cost of providing
• BI resources are used
Compare information (make the
responsibly enterprise efficient)
• BI related risks are • Manage risks (security,
managed responsibly reliability and compliance)
Measure
Performance
Derived from “Board Briefing On Governance”
by the IT Governance Institute (http://www.isaca.org)
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

5. Components of Governance
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Executive Steering
Committee
Programme User Forums
Programme
Management
Certification
Committees
Project Exploitation
Teams
Project
Management
Implementation
Teams
Data
Process Data Model Data Quality Warehouse
Development
Data Lifecycle Data Security
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

6. Executive
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 Steering Committee
 The steering committee ensures that the BI development is aligned
with the business objectives.
 Monitoring ensures that the programme is delivering the right
projects at the right time and at fair value.
 By setting the principles and policies the steering committee can
control the direction that the development goes in and maintains
an enterprise wide business perspective for the data warehouse.
 The steering committee is also the centre of communication. It
takes input from the user forums and the certification committee as
to what is needed. In return the committee manages the
expectations of both the business and IT departments as to what
is possible.
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

7. Programme
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 Programme Management
 Programme management is the co-ordinated management of a portfolio of
projects to achieve a set of business objectives. It delivers the co-ordinated
support, planning, prioritisation and monitoring of projects to meet changing
business needs. To achieve the business objectives the programme manager
defines a series of projects with quantifiable benefits that together will meet the
long-term objectives of the organisation.
 User Forums
 The programme needs a number of user forums that involve end users, subject
matter specialists and staff from the exploitation teams. These forums are useful
to allow various teams to express their issues and aspirations for the system
 Certification Committee
 A number of groups within the organisation will also assess the data warehouse
to ensure that it is fit for purpose. These groups can either be consulted
individually or brought together as a committee to advise the programme.
 Examples: Audit, Regulatory & Compliance, IT Strategy & Architecture, Security
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

8. Project
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 Project Management
 The project management takes responsibility for the delivery of an individual
project within the scope of the programme
 Implementation Team
 The implementation teams are the group of people that will develop, deploy
and maintain the system.
 Typical roles for the teams will include: Technical Architect, Data Modeler,
Metadata Administrator, ETL Developers, Front End Tool/Report Developer,
Systems Database & Network Administrators
 Exploitation Team
 The exploitation team are focused on ensuring that the business is extracting the
most value from the solution. Exploitation teams work on the current version of
the system to help the business use the current system and develop new
requirements to exploit the system further.
 Typical roles for the teams will include: Business Analysts, Business Requirements
Specialist, Technical Author/Documentation Specialist, Trainer, End User Support
Specialist, Communications Specialist, etc.
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

9. Processes
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Data Model Data Quality
 The use of uniform techniques for data capture,  Methodical investigation into Data Quality,
preventing duplication of data and greater consistency maximising the likelihood of discovering Issues
in the Transactional Repository. before they become mission critical.
 Ensure that best practice Data Modelling patterns are  Standardised measurement of Data Quality
followed, and that the Data Model is extensible and ensuring better understanding of the scale of the
maintainable
overall problem, and giving visibility to the decision
 Improved ad-hoc query performance for the users of making process.
the system, allowing for closer to speed of thought
analysis.  Standardised Processes to help in the timely
resolution of Data Quality Issues
 Improved performance for inbound and outbound data
loading from Source Systems, through Staging and the
Transactional Repository, and into the Data Marts.
 Lower costs of development and maintenance, through
a more robust model and a standardised approach to
change.
 Consistent answers to User queries, and making
misinterpretation of results more difficult.
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

10. Processes
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Data Lifecycle Data Security
 Considered in terms of  Considered in terms of
 Architecture
 Capacity
 Data Lifecycle
 Performance
 Business Unit Requirements
 Historical Reporting
 Compliance
 Regulation  Company Policy
 Archive  Business Intelligence
 Backup and Restoration Personnel
 Business Intelligence Mission
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

11. Processes
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Data Warehouse Development Data Warehouse Development
 Requirements  ETL
 Analysis, Design, Build
 Enhancements
 Reporting
 Issues
 Analysis, Design, Build
 Change
 Testing
 Sources
 Implementation
 Outputs
 Training
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

12. Fitting it together
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 Understand what is required
 Executive, Programme, Project, Processes
 Understand who is required
 Roles and Responsibilities derived from above
 Understand what is achievable
 The answers to the straw poll will guide you
 Put them all together in an organisational
framework
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

13. Creating a successful framework
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 Whatever governance model is selected for an
organisation it has to deliver certain key factors:
 It has to be institutional
 The governance model must be part of the organisational
structure of the business
 It has to act by consent
 Strategies,
priorities and outcomes as a result need to be
acknowledged, accepted and respected
 It has to promote the adoption of BI as a business tool
 By providing a vision, roadmap, strategy and clear
communication about what BI can give the business
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

14. Organisational Models
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 IT Owned Programme
 IT
acts as a service provider to business
 Most commonly used organisational model
 Federated Team
 IT& Business Units create teams
 Focused on value delivery for the business units
 Business Intelligence Competency Centre (BICC)
 Joint
venture between business and IT
 One department that represents Business Intelligence
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

15. IT Owned Programme
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Pros Cons
 Understand the  Can be disconnected
technologies from business priorities
 Independent arbitrator  Can struggle to get
between business units funding from the
business
 Only works where IT is
respected
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

16. Successful Governance – IT Owned
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 Global Banking
 Key Roles
 CIO who understands ‘Agile’ methodologies
 BI Manager and business analyst team leaders that
understand exactly what is needed
 Major Outcomes
 BIis highly responsive to business needs
 Change & re-factoring are a way of life
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

17. Federated
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Pros Cons
 Very close to the  Can lack an overall
business architecture
 Delivery fit-for-  Can result in
purpose duplication
 Can be virtualised
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

18. Successful Governance - Federated
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 Global Manufacturer
 Key Roles
 CEO aligns entire business along well defined business
processes and appoints process owners
 CIO aligns entire IT organisation to the processes
 Major Outcomes
 Tight alignment and integration of
Business Process, Operational & BI systems
 Each process has BI systems that exactly meet their needs
 No global data warehouse
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

19. BICC
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Pros Cons
 Close to the business  Can be difficult to set
 Cohesive technical up in some companies
architecture  Can become detached
 Can be virtualised from IT and the
Business
 Virtual teams often
drift apart
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

20. Successful Governance - BICC
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 European Retailer
 Key Roles
 IT run by Chief Technology Officer (CTO)
 Controls all operational systems
 BI run by Chief Information Office (CIO)
 Controls all BI systems
 Major Outcomes
 A BICC run at the executive level
 Every business function engaged and committed to using BI
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

21. Governance Deployment
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 Develop the vision, strategy and priorities for business
intelligence
 Establish the organisational framework that
 Will work within your organisation
 Is cost-effective in delivering business intelligence
 Makes effective use of the policy and procedures
 Can resource the roles and responsibilities
 Does not become an end unto itself
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

22. Maintaining Governance
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 Once deployed governance must
 Manage the on-going development for on-time on
budget development
 Ensure that there is sufficient on-going funding
 Deliver value for money
 Adapt to change in the business priorities and the
organisational structure
 Evolve in such a way as to always be an invisible
support rather than a visible obstruction
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010

23. Finally remember …
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 Good governance is about creating an environment
that delivers value-for-money solutions that meet the
business need.
 Developing documentation, processes and formality
without a positive organizational culture where
understanding, discipline and skill are regarded as
virtues in teams that have leaders with strong
technical skills, initiative, communications skills and
personal authority will not deliver the required
value.
ETIS Business Intelligence & Data Warehousing Working Group, Athens April 15, 2010