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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

It’s believed the source of the breach was Marriott’s Starwood subsidiary and Marriott might not have done due diligence when merging its newly acquired subsidiary’s data into its own databases. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members.

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The Never-Ending Evolution of Data Governance

erwin

New Drivers. Continuing to improve data governance speaks to its never-ending evolution. A great example of this is seen in new business drivers that are in alignment with data governance programs and strategies. Data and Regulatory Compliance. And they have processes in place for continuous improvement.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

My role encompasses being the business driver for the data platform that we are rolling out across the organisation and its success in terms of the data going onto the platform and the curation of that data in a governed state, depending on the consumer requirements.

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BI Adoption Trends: Learn From the Companies That Do It Best

BI-Survey

customers and suppliers) using external-facing reports and dashboards. These new usage trends are most prevalent among leading adopters of data & analytics (e.g., Specifically, organizations are implementing data governance programs and data quality workflows to improve data accuracy, completeness, and consistency.

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Modeling, Modernization and Automation

BI-Survey

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

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Alation State of Data Culture Report: Bad Data Spells Trouble for AI

Alation

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). AI fails when it’s fed bad data, resulting in inaccurate or unfair results.

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