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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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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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Automated Data Governance 101

KDnuggets

The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons about how data science and governance programs can, if implemented properly, reinforce each other’s objective.

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Insurance Organizations Depend on the Quality of Their Data

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For others, inaccurate data led to poor quality decisions, conflicting reports, mispriced policies, delays in claims processing, and other significant problems. Read Building Data Quality at Scale Developing and maintaining data quality at scale requires a systematic approach, supported by the right enterprise-grade technology tools.

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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? Data Observability and Monitoring with DataOps. Top 5 White Papers. Data Governance as Code.

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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.