Real-World Data Governance: BI Governance and the Governance of BI Data

Real-World Data Governance
BI Governance and the Governance of BI Data
Complementary Activities – Similarities & Differences
Monthly Webinar Series Hosted by Dataversity
Robert S. Seiner – KIK Consulting / TDAN.com
October 18, 2012 – 2:00 p.m. EST

Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com

Twitter at #RWDG 1

Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
Twitter About This Webinar at #RWDG
Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

Upcoming Webinars

• Real-World Data Governance – Monthly Webinar Series
– November 15, 2012 – Tools of Data Governance – Purchased and Developed – 2pm EST
– December 20, 2012 – Tools of Data Governance – Purchased and Developed – 2pm EST

– Register On-Line at Dataversity.Net

Twitter at #RWDG 2


Abstract

• The terms BI Governance and Data Governance for the Data Warehouse
are used quite often in the Business Intelligence industries.
• They do not mean the same thing.
• BI Governance is the governance of all activities within a BI environment
while the Governance of BI Data focuses on applying Data Governance
principles to the Data in your Business Intelligence environment.
• Both are necessary.

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Abstract

• This webinar focuses on clearly defining the two disciplines, recognizing
how each discipline is different but complementary in their activities.
• The webinar focuses on simple steps to develop and utilize reusable
components, tools and artifacts that will assure success in both areas.
• Join Bob Seiner and DATAVERSITY for the tenth in a series of monthly
webinars titled “Real-World Data Governance” where Bob will provide
practical definitions and simple steps to improve the relationship between
the disciplines of BI Governance and the Governance of BI Data.

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Definitions

• Governance – Execution of Enforcement and Authority
– Responsibility & Accountability
• Stewardship – Formalizing Accountability
– Formal – Recorded
– Informal – Not Recorded – “People Just Know” – or do they?

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Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com 5

Definitions

• BI Governance – Execution of Enforcement and Authority of the Processes
and Disciplines Associated with the Development of a BI Environment.
• Governance of BI Data – Execution of Enforcement and Authority for the
Data Associated with the Development of a BI Environment.

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Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com 6

Definitions

• Non-Invasive Data Governance™
– The practice of applying
• formal accountability through roles & responsibilities
• to existing operations and processes
• to assure that the definition, production & usage of data
• assures regulatory compliance, security, privacy, protection & quality.
– Non-Invasive describes how governance is applied to assure
non-threatening management of valuable data assets.
– The goal is to be transparent, supportive, collaborative.

• Non-Invasive BI Governance
• Non-Invasive Governance of BI Data

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What Does It Mean to Govern Something?

• [to] gov·ern [the data, the process]
v. gov·erned, gov·ern·ing, gov·erns
– To make and administer the public policy and affairs [of data, of process]
– To exercise sovereign authority
– To control the speed or magnitude
– To regulate
– To control the actions or behavior
– To keep under control; to restrain
– To exercise a deciding or determining influence
– To exercise political authority
– To have or exercise a determining influence
FreeDictionary.com [Bob Seiner]

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Focusing on BI Governance

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• According to The Business Intelligence Guide (thebusinessintelligenceguide.com):
• The objectives of BI Governance are:
– Clearly defined authority and accountability, roles and responsibilities.
– Program planning, prioritization, and funding processes.
– Communicating strategic business opportunities to IT.
– Transparent decision-making processes for development activities.
– Tracking value and reporting results.

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Data Governance Program Team Executive Level
Data Governance Team Manager Data Steering Committee
Responsible for Administering the Program, Senior-most level knowledge of the program.
facilitating use of the Data Governance Council, Leverage existing business structure as possible.
communicating program components and value to the Organization. If no structure exists, utilize an IT Steering Committee
Executive
Advisory assistance from other levels. or an executive founded board or council.

IT Subject Resource Experts Strategic Level
System/Data Resource Experts Data Governance Council
IT Staff including Application Data Governance Sponsors Group
Development, Data Design, or Group of similar participation. One person, plus
Security, and other Data alternate, for each Business Unit represented & IT.
Strategic -
Resource Management. Consider financial services & human resources.
Enterprise

Tactical Level
T)

Data Domain Stewards
GP
(D

Per assigned Subject Areas
ts
m

Data Steward Coordinators
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pe
a
Te

Ex

One per Business Unit
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og

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Tactical Level - Cross Business Unit
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Operational Level
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Operational Data Stewards (existing)
Go

IT

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Data Definers, Producers, Users
ta

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Da

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These people are presently defining,

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producing and using data as part of their

n

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jobs. Recording of the Operational Data

/A

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un
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Stewards will be an important enabler of

i ca
ro
improved communications, coordination

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and cooperation among stewards.

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at
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Operational Level - Business Unit Specific

Copyright © 2009 - Robert S. Seiner - KIK Consulting & Educational Services, LLC - All Rights Reserved

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• According to The Business Intelligence Guide (thebusinessintelligenceguide.com):
• BI Governance aims to provide a customized framework for BI guiding
principles, decision-making, and oversight around:
– Ever changing needs of users
– Selection of systems, tools
– Progress of business intelligence and data warehouse implementations.
– Manage BI user adoption
– Resolution of data quality problems
– Raising executive awareness of the value
– Roadmaps for success
– Governance of programs and projects

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Business Intelligence Mapping Matrix

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• According to Search Business Analytics (SearchBusinessAnalytics.TechTarget.com):
• Recommended Dos and Don'ts for Successfully Governing BI Programs :
– Create a Roadmap, Don't Set it in Stone.
– Deliver BI Capabilities that Business Users can Embrace.
– Choose a BI Manager with the Right Mix of Skills.
– Don't Get Stuck in the Same-Old, Same-Old.

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• According to The Data Administration Newsletter (TDAN.com – May 2007):
• The Four Components of BI Governance (Deanne Larsen, Denise Matney)
• BI governance is a framework that helps identify, deliver, and maintain the BI
strategy. It includes:
– BI Governance Committee (for project direction, alignment, and prioritization)
– BI Lifecycle (to ensure consistent project delivery and meet end-user expectations)
– End-User Support (ongoing improvements to user effectiveness and empowerment)
– BI Review (evaluating maturity levels and tracking metrics)

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• Framing Business Intelligence Governance (Beth Leonard) includes:
– Guiding principles are the core foundation and beliefs that guide the overall program vision and
establish the approval criteria for BI projects. They articulate the common goals of the governing
bodies. A guiding principle might look like this: “BI enables user self-sufficiency at the desktop,” or
“BI ensures that data is managed as a corporate asset—integrated, standardized, shared, and
reused across business functions.”
– Decision-making bodies identify who makes the BI decisions: who provides inputs and advocacy,
and how they interact. Members of decision-making bodies should span functional areas and
organizational levels in order to provide a continuously balanced view of corporate needs and
interests and to provide communications paths and feedback loops. Good BI governance will share
decision-making between business and IT functions. The BI steering committee focuses on aligning
corporate strategic initiatives and processes with BI applications, investment, and usage, while IT
focuses on architecture and infrastructure. Decision-making bodies must have the authority and
willingness to take action to enforce their decisions; they must drive individual and program
accountability.

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• Framing Business Intelligence Governance (Beth Leonard) includes:
– Decision areas and decision rights are aligned with BI implementation processes at “go/no-go”
decision gates and key measurement categories. Decision areas identify what and how decisions
are made. For each decision area, BI governance assigns responsibility and accountability to
stakeholders for either decision-making or input. Broadly grouped, BI decision areas actually set
the agenda for the BI steering committee: (1) BI application portfolio and investment, (2) BI
implementation project status, and (3) BI adoption and value realization.
– Mechanisms are the formalized processes, policies, and procedures used to implement BI
governance and gauge how things are working. Mechanisms are interdependent and used in
combination with one another to direct BI governance inputs and oversight. Typical BI governance
mechanisms include the application portfolio, business case and budget approval, exceptions
processes, the BI development process, tracking and measurements, and a communications plan.
Guiding principles may be the most difficult component for stakeholders to agree upon because
they are often entrenched in corporate culture and require hard choices, but mechanisms will take
the most time to develop. The templates, tools, and capabilities embedded in mechanisms are
usually created in parallel with BI projects as needs arise and are refined and institutionalized over
long periods of time.

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Focusing on Governance of BI Data

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Focusing on Governing BI Data

• Is Governing BI Data Different Then Governing Any Other Data?
– No!
• Need to Define Governance, Stewardship, Metadata, …
• Need to Follow Best Practices
• Need to Define Roles & Responsibilities
• Need to Invoke Roles & Responsibilities

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– No!
• Need to Identify, Escalate and Resolve Data Issues
• Need to Follow Corporate Data Policy / Standards
• Need to Improve Communications / Awareness
• Need an Action Plan
• Need a Business Glossary

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– Yes!
• Increased Importance – Eliminate Risk
• Increased Importance – Maximize Value of Investment
• BI Program / Consulting / Resource Cost
• Hardware / Software / System Cost
• Level of Visibility / Scrutiny

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– Yes!
• Beneficial By Products of Governing BI Data
– Identify Stewards of Data
– Identify Systems and Sources of Record
– Identify Data Quality Issues / Owners

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• How Important is Governing the Definition of BI Data?
– Definition Coordination, Cooperation, Communication
– Modeling at the Reference, Conceptual, Logical and Physical Layers
– Standard Definition Issues Escalation and Resolution
– Formal Collection and Availability of Metadata
– Tools
• Requirements
• Acquisition
• Education
• Deployment

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• How Important is Governing the Definition of BI Data?
– Business Definitions Vs. Cheese Burger Definitions
– Business Rules, Usage Rules, Decision Rules
– Compliance Rules, Classification Rules, Regulatory Rules

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• How Important is Governing the Production of BI Data?
– Extraction, Transformation, Loading of Data
– Data Standardization
– Data Certification
– Data Validation
– Data Acquisition

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• How Important is Governing the Usage of BI Data?
– Compliance and Risk Management
– Classification and Security
– Data Visualization
– Data Mining
– Tools
• Requirements
• Acquisition
• Education
• Deployment

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• How Important is Governing the Usage of BI Data?
– Analytics and Reporting
• Report Definition
• Report Production
• Report Usage

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• Aren’t We Already Governing BI Data Better Than Other Data Anyway?
– Maybe “YES”
– Maybe “NO”
– Formal Processes for BI Data Definition, Production and Usage
– Apply the Data Governance Operating Model to the Processes
– Apply the Common Data Matrix to the Processes
– “KIK” Start or Formalize Governance Through Your BI Effort

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• BI Governance and Governance of BI Data Together
– Best of Both Worlds – Process and Data
– Both Rely on People’s Formal Behavior
– Assess Both of These Capabilities Independently
– Strengthen Each Incrementally
– Identify and Leverage Where the Governance Already Exists

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Focusing on Both

• BI Governance and Governance of BI Data Together
– Should One Come Before the Other?
– Chicken and Egg
– Governance of BI Data May Be Part of the BI Governance Processes
– Non-Invasive Approach to Both

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Future Data Governance Events

• Real-World Data Governance – Monthly Webinar Series
– November 15, 2012 – Tools of Data Governance – Purchased and Developed – 2pm EST
– December 20, 2012 – Tools of Data Governance – Purchased and Developed – 2pm EST

• ERWorld – CA’s Free Online Conference for Data Management Professionals
– October 22-25, 2012 – http://erwin.com/erworld – Dataversity is the ERworld 2012 Premier Sponsor
– Governing the Metadata Associated with Data Governance – Robert S. Seiner
– Thursday October 25, 2012, 2pm EST – Event Closing Presentation

• Data Governance Winter Conference
– Produced by Dataversity and DEBTECH International – December 3-5, 2012

• Two Day Public Seminar – Just Announced – Contact Me for Info!
– How to Build and Implement a Non-Invasive Data Governance Program
– Monday and Tuesday January 14th and 15th, 2013
– Sheraton Station Square, Pittsburgh, Pennsylvania
– Class Size Limited to 25
– Buy Two Seats at Full Price Get Third Seat Free – Early Bird Specials Before December 10, 2012
– Stocked Full of Templates and Tools of Non-Invasive Data Governance

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Question & Answers

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Contact Information

• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
Post Office Box 112571, Upper St. Clair, Pennsylvania 15241
412.220.9643, 412.220.9644 (Fax)
rseiner@kikconsulting.com
rseiner@tdan.com

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