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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

Precisely

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. How can they contribute their expertise?

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Insurance Organizations Depend on the Quality of Their Data

Precisely

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

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk.

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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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Solving the Pain Points of Big Data Management

Cloudera

With big data, often the cart is put before the horse. But while cloud plays a significant role in infrastructure, storage, data capture, and data processing in today’s business environment, each organization needs to clearly define its business needs first.

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Is Self-Service Analytics All Hype?

The Modern Data Company

Thus, a self-service tool must take something complex and make it easy for someone with limited knowledge or understanding of the underlying process to safely make that “something” happen. Or, those who don’t know machine learning tools can still build a basic predictive model through a guided template.