Remove Data Analytics Remove Data Governance Remove Data Strategy
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Data security, data quality, and data governance still raise warning bells Data security remains a top concern.

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How Data Governance is Central to Effective Data Analytics

TDAN

However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Ultimately, data governance is central to […] Not only that, but we can put our business at serious risk of non-compliance.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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Data governance in the age of generative AI

AWS Big Data

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

The World Economic Forum shares some risks with AI agents , including improving transparency, establishing ethical guidelines, prioritizing data governance, improving security, and increasing education. Placing an AI bet on marketing is often a force multiplier as it can drive data governance and security investments.