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1 1 1 1 Top 5 Challenges in Developing Data Governance Plans Francis McWilliams Solutions Architect [email protected]

Top 5 Challenges in Developing Data Governance Plans

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Watch the companion webinar presentation at: http://embt.co/1zjVzEi These days, it seems that many companies are assigning their business and data professionals an urgent task to establish a corporate data governance plan, but many of them aren’t sure where or how to start. In order to implement data governance in your company, you have to deal with multiple challenges, such as: Making a business case for data governance Getting management and executive buy-in (including funding & headcount) Developing a realistic timeline – and realize that it’s an ongoing process, not a time-limited project Implementing a robust infrastructure to establish the framework for your environment Mitigating risks as the program evolves Before you can create an effective data governance program, you have to start with the foundation and treat your data as a corporate asset. When you have a consistent standard for metadata, you can provide a solid structure across your enterprise that will improve data quality, enhance data security, and reduce risk. Join this webinar to learn about a realistic approach to defining, establishing, and measuring success for your data governance initiative.

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Top 5 Challenges in Developing Data Governance Plans

Francis McWilliamsSolutions Architect

[email protected]

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Top 5 Challenges in Developing Data Governance Plans

1. Management Sponsorship

2. Scale Correctly

3. Roles and Responsibilities

4. Enforce Data Governance rules

5. Begin Business Glossary work early

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Management Sponsorship

1. Obtaining Management Buy-in

2. Benchmarking

3. Top-Down and Bottom-Up

4. Communicate!

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Scale the milestones

• Keep it realistic - Especially in the beginning

• Baby Steps – Bite size pieces

• Think Ongoing process

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Data Governance Roles and Responsibilities

1. Overseeing Body / Committee

2. Business Element

3. IT Support Team

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Roles

1. Data stewards: The people who know your data

2. IT SME and Data SME and Business SME

3. Enterprise Architects

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Business Glossary Metadata Context vs Content

• Start Early

• Data Stewardship - Continued

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Enrich using metadata

• Required to paint the full picture• Lack of information results in poor decision

making• Provide clarity over time

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Apply naming conventions

• Enforce consistency • Help provide meaning to physical

implementations• Provide clarity over time

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Data Governance is not a project

1. Ongoing process

2. Build for permanency

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What not to Do

• Buy in and not commitment

• Cart before the Horse

• Ocean Boiling

• Goldilocks Syndrome

• Too many people / Overload

• Failure to Implement

• Didn’t Plan for a journey

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Concluding Remarks

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Thank you for attending!

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