Product Owner’s Guide to Semantic Layers in Large-scale Analytic Application

Product Owner’s Guide to Semantic Layers in Large-scale Analytic Application

Product Owner’s Guide to Semantic Layers in Large-scale Analytic Application

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Description

If you’re a product owner of a data-driven application, you’re likely looking to integrate embedded analytics into your application in a way that makes analytical insights usable and available to every user. However, not all embedded analytics solutions are created equal in terms of maintainability, clarity, and power, and a very important component of the solution is the semantic layers.

Key Learnings:

  • Review the components of the semantic layer—logical data models, measures and metrics, and insights—and explore some concrete examples of each of these components.
  • Learn best practices for creating each of these semantic layer components.
  • Read how key features of the GoodData platform can help you successfully follow these best practices as you go forward.

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