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What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth. It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals.

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Dell shares its vision of the AI factory powered by NVIDIA

CIO Business Intelligence

Credit: Dell Technologies Fuel the AI factory with data : The success of any AI initiative begins with the quality of data. With the right AI investments marking the difference between laggards and innovative companies, deploying AI at scale has become an essential strategy in today’s business landscape.

IT 111
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7 types of tech debt that could cripple your business

CIO Business Intelligence

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. As Mr. 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.

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HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

However, many companies today still struggle to effectively harness and use their data due to challenges such as data silos, lack of discoverability, poor data quality, and a lack of data literacy and analytical capabilities to quickly access and use data across the organization.