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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

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Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security

Dataversity

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200
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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

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Do You Need a Semantic Layer?

Dataversity

I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old […].

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Self-Service Data Access Best Practices

The Data Administration Newsletter

Today’s digital realm increasingly emphasizes the value of self-service data access. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information […]

Digital 52