Join Alan Simon for an in-depth discussion in this video Data quality and governance, part of Big Data Foundations: Building Architecture and Teams.
- You need to make data quality a top priority…in your overall Enterprise Data Environment,…but data quality does not happen by accident…nor will it be sustained by itself.…Data governance is a critically important aspect…to your environment.…Before focusing on the future state,…you need to be crystal clear about the overall…data quality in your current environment.…The good news is that the results from your…scorecard effort should clearly indicate…what that current state is.…But regardless of whether the relevant scores…for data quality are good or bad, you will need…to dig into the details specifically in two areas.…
First, we have the fundamental correctness…of your data.…Is the value of any given piece…of data in any component in your enterprise…actually correct?…Or has the value somehow been corrupted,…and instead is incorrect?…And you usually can tell this by incorrect data…showing up on reports or many of the other things…that will be reported by the people responding…to the survey scorecards.…Second, because of the nature of Enterprise Data…
Author
Released
12/16/2015Join Alan Simon as he shows how to build a top-notch enterprise data team, evaluate your data architecture, solicit feedback from business users and IT staff, and create a plan to manage your data going forward. He helps you build a portfolio of projects that align with business needs, and migrate your current data into a more modern big data environment.
- Surveying the enterprise data landscape
- Building a data architecture team
- Selling the team
- Finding out what's working—and what's not—with scorecards
- Analyzing and reporting feedback results
- Modernizing your data architecture
- Refining and selling your data portfolio
- Evolving your data team
Skill Level Intermediate
Duration
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Introduction
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Welcome1m 14s
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1. Modern Enterprise Data Architecture
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The data landscape3m 31s
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Big data architecture4m 19s
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Big data alone is not enough4m 38s
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Enterprise data architecture6m 10s
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2. Your Data Architecture Team
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Recruit your data team6m 4s
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Sell the team4m 13s
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The kickoff meeting3m 20s
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3. Your Enterprise Data Landscape
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Enterprise scope2m 37s
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Build a scorecard5m 9s
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Effective or not?6m 20s
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4. Your Data Architecture
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Data quality and governance4m 29s
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Data standardization4m 14s
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Tools and technologies4m 35s
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Reporting3m 40s
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Data environments2m 16s
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5. The Future of Your Data
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Current gaps2m 13s
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Initiatives4m 56s
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Refine your data portfolio2m 14s
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Sell your data portfolio3m 4s
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Final approval4m 51s
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6. The Future of Your Data Team
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Your complete data team6m 27s
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Program risks4m 45s
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Managing programs5m 15s
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Maturity models3m 24s
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Communicating3m 55s
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Conclusion
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Next steps1m 3s
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Video: Data quality and governance