November 20, 2013 Anthony J. Algmin "One for All and All for One" Successful Data Governance is a Balancing Act 1
November 20, 2013 Anthony J. Algmin
"One for All and All for One" Successful Data Governance
is a Balancing Act
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If you remember nothing else...
• It is all about the business
• It is more about communications than technology
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Our Agenda
• Introduction
• Part 1: Why is data governance so hard?
• Part 2: What should we do differently?
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Part 1: Why is Data Governance So Hard?
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What are the biggest challenges with data governance?
Data People Politics
Resources Technology
Time Interest
Return on Investment (ROI) Business Buy-In
Relevance Consensus
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The DAMA Data Management Disciplines
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Part 2: What Should We Do Differently?
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The One Question to Ask Over and Over Again
• Why are we doing this?
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2 Kinds of Conversations
• What is it today?
• What should it be in the future?
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Data Enablement Mindset
• Enablement over Administration
• Decision-Making
• Balance
• Iteration
• Business Value
• Communications
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The Data Management Levers
• Data - What?
• Technology - Where?
• Business Value - Why?
• Priorities - When?
• Engagement - Who?
• Resources - How (Much/Many)?�12
Getting Started
• Capture issues
• Executive buy-in
• Data Governance Council
• Issue Champions
• Regular Meetings
• Scaling Up�13
Remember the Data Governance Takeaways
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• It's all about the business
• It's more about communications than technology
Victory!
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Data Governance 2013 Abstract One for All and All for One -- Successful Data Governance is a Balancing Act
BI programs in general, and Data Governance programs in particular, have a poor track record of success. The ways to fail are countless, but to succeed you must not only have strong strategy, planning and execution – but you must deliver value quickly enough to generate interest (and resources) to reach critical mass. The challenge is far less technically-complicated than it is about complex organizational change – and people-based systems are a notoriously difficult upgrade!
To succeed in your company’s Data Governance efforts, the most important component is balance – in tools, responsibilities, techniques, and even paperwork! Even the best-intended and logically-designed governance program can lose its balance quickly if not carefully guided. This session will be most helpful to those just getting started on the journey.
This session will highlight:
• Why Data Governance is really all about letting people know when it is their turn to make decisions
• Data Governance’s relationship to other data management disciplines (metadata, master data, data quality, etc.)
• Traps that organizations tend to fall into while getting started
• Changing the Data Governance mindset from administration (i.e. “friction”) to enablement (i.e. “impact”)
• Determining which complementary data management tools to focus on first
• Why being “done” with Data Governance is like being “done” with HR �16