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Following the Roadmap to Better Data Governance

Precisely

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous.

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Why Your Master Data Management Needs Data Governance

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As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. How can they contribute their expertise?

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Unraveling the Threads: Data Fabric vs Data Mesh for Modern Enterprises

Precisely

Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security. Problems it solves Data fabric addresses key data management and use challenges.

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Insurance Organizations Depend on the Quality of Their Data

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How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The top quartile, in contrast, reported better results, which were supported by better processes and technology.

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2021 Gift Giving Guide for Data Nerds

DataKitchen

In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed data mesh is a better choice. Disrupting Data Governance: A Call to Action, by Laura B.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This often requires strong data governance, management and lineage controls together with mature ML operational practices.