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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.

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Insurance Organizations Depend on the Quality of Their Data

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Nearly all the leading-edge firms said that they have controls in place to ensure that data entry meets clearly defined business rules. Top performers are much more likely to use technology systems to validate addresses and other geographic data points. The best data quality tools adapt easily as your company changes and grows.

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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

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. They identified four main categories: capturing intent, system design, human judgement & oversight, regulations. An AI system trained on data has no context outside of that data. System Design.

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Is Self-Service Analytics All Hype?

The Modern Data Company

If ad hoc requests are being answered using the exact same underlying data, governance, and security infrastructure as self-service requests, then it becomes that much easier to migrate a new process from manual ad hoc status to fully self-service. This makes managing and implementing self-service tools easier than ever before.

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Mainframe Data: Empowering Democratized Cloud Analytics

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For organizations that continue to rely on mainframe systems to process their most mission-critical workloads, the digital revolution demands new approaches to integration. Businesses must tear down the barriers that stand between their core data assets and the globally distributed computing systems driving today’s economy.

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