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November 20, 2013 Anthony J. Algmin "One for All and All for One" Successful Data Governance is a Balancing Act 1
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One for All and All for One, Successful Data Governance is a Balancing Act

Dec 01, 2014

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Business

Anthony Algmin

From my talk at the Data Governance Winter Conference in November 2013. This is an introduction to some key principles and activities for organizations getting started with Data Governance.
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Page 1: One for All and All for One, Successful Data Governance is a Balancing Act

November 20, 2013 Anthony J. Algmin

"One for All and All for One" Successful Data Governance

is a Balancing Act

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Page 2: One for All and All for One, Successful Data Governance is a Balancing Act

If you remember nothing else...

• It is all about the business

• It is more about communications than technology

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Page 3: One for All and All for One, Successful Data Governance is a Balancing Act

Our Agenda

• Introduction

• Part 1: Why is data governance so hard?

• Part 2: What should we do differently?

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Page 4: One for All and All for One, Successful Data Governance is a Balancing Act

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Page 5: One for All and All for One, Successful Data Governance is a Balancing Act

Part 1: Why is Data Governance So Hard?

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Page 6: One for All and All for One, Successful Data Governance is a Balancing Act

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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Page 7: One for All and All for One, Successful Data Governance is a Balancing Act

The DAMA Data Management Disciplines

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Page 8: One for All and All for One, Successful Data Governance is a Balancing Act

Part 2: What Should We Do Differently?

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Page 9: One for All and All for One, Successful Data Governance is a Balancing Act

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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Page 11: One for All and All for One, Successful Data Governance is a Balancing Act

Data Enablement Mindset

• Enablement over Administration

• Decision-Making

• Balance

• Iteration

• Business Value

• Communications

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Page 12: One for All and All for One, Successful Data Governance is a Balancing Act

The Data Management Levers

• Data - What?

• Technology - Where?

• Business Value - Why?

• Priorities - When?

• Engagement - Who?

• Resources - How (Much/Many)?�12

Page 13: One for All and All for One, Successful Data Governance is a Balancing Act

Getting Started

• Capture issues

• Executive buy-in

• Data Governance Council

• Issue Champions

• Regular Meetings

• Scaling Up�13

Page 14: One for All and All for One, Successful Data Governance is a Balancing Act

Remember the Data Governance Takeaways

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• It's all about the business

• It's more about communications than technology

Page 15: One for All and All for One, Successful Data Governance is a Balancing Act

Victory!

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Page 16: One for All and All for One, Successful Data Governance is a Balancing Act

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