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Why Your Master Data Management Needs Data Governance

Precisely

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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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 best data quality tools adapt easily as your company changes and grows.

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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.

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Solving the Pain Points of Big Data Management

Cloudera

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock. The Enterprise Data Cloud Approach.

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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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As a result, there is a widespread desire for access to timely, trustworthy data and the analytical tools to interpret it. This has compelled business users to expand their knowledge of data management and enhance their analytics skills. In a connected mainframe/cloud environment, data is often diverse and fragmented.

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Self-Service as a Productivity Enabler for Experts

The Modern Data Company

To learn more about how a data operating system like DataOS can help your organization democratize data and enable more self-service, download our white paper, A Paradigm Shift in Data Management. That’s a strong value proposition worth understanding and exploring.