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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. 86% of Experian survey respondents’, for instance, are prioritizing moving their data to the cloud in 2022.

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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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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. erwin DG Webinar Series.

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

BI-Survey

Specifically, organizations are implementing data governance programs and data quality workflows to improve data accuracy, completeness, and consistency. They are launching data literacy programs with coaching and support networks to improve knowledge and skills required to use BI/analytics tools effectively.

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Modern Data Architecture for Telecommunications

Cloudera

Optimization Data lakehouse is the platform wherein the data assets reside. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. This is not a single repository, nor is it limited to the storage function.