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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. Considering the very real danger of data breaches, lawsuits, and damaged reputation, giving up is not an option.

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The Never-Ending Evolution of Data Governance

erwin

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. New Drivers. Continuing to improve data governance speaks to its never-ending evolution.

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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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Modern Data Architecture for Telecommunications

Cloudera

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges?

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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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Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. This not only involves transforming data into a competitive advantage but rethinking how we use and distribute D&A across our business and functions.