How a semantic layer bridges BI and AI

– “As illustrated by the table above, business users typically focus on historical analysis while data scientists are working to predict the future. It’s obvious that business users make better decisions if they can anticipate the future. It’s also obvious that data scientists build better models if they can compare their predictions to what actually happened. In other words, historical analysis and predictive analysis are relevant to both teams, but rarely do the two meet.

– One of the biggest complaints from the business is that it takes way too long for IT to build or deliver reports for them. Users want to control their destiny, and subject-matter experts (not IT) are best suited to applying data to improve the business. A well-designed semantic layer hides the complexity of data’s physical form and location while translating data into understandable business constructs. A semantic layer frees business users and data scientists from the dependency on IT and data experts by making data easy to use.”

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