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Next Gen BI based on Semantic Technology

Here are my thoughts on how BI tools and technology can leverage semantic technology.

  • BI based on the relational model of data is no longer viable with the data complexity exceeding the limits afforded by RDBMS technology. Other then scale, there is also the issue that RDBMS queries are heavily coupled to the physical data organization while semantic querying in SPARQL permits complete abstraction of the physical organization of data. This is extremely useful when executing BI queries over distributed data sources.

  • Another important issue to consider is the opportunity to use inference capabilities provided by semantic repositories in BI analytics to draw conclusions from what is already stated  in the database.

  • The other is the ability to use semantic analysis and information extraction to populate knowledge bases based on semantic technology that can combined structured and unstructured data in a uniform schema less manner providing the benefit of schema flexibility and information linking. This is very useful for information integration.

  • Scalable Consistency checking within BI is now possible by the use of semantic technology. Rule based consistency checking has been around for quite some time. However semantic technology provides  a standards based stack of knowledge languages, data models, and inference engines to facilitate better adoption.

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