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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

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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. Continuing to improve data governance speaks to its never-ending evolution.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

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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

Although adoption rates for BI/analytics tools remain stuck in the 20% range, usage is increasing. Usage growth is primarily fueled by “off-license” usage from front-line workers using BI/analytics output embedded in operational applications as well as external users (e.g., Technical drivers. Global survey. Key takeaways.

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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.