Business Intelligence Semantic Model

Business Intelligence Semantic Model (BISM) is a new data model that was introduced by Microsoft in SQL Server 2012. It is a single unified BI platform that publicizes one model for all end-user experiences. It is a hybrid model that exposes two storage implementations: the multidimensional data model (formerly called OLAP) and the tabular data model, which uses the xVelocity engine (formally called VertiPaq), all of which are hosted in SQL Server Analysis Services (SSAS).

The tabular data model provides the architecture and optimization in a format that is the same as the data storage method used by PowerPivot, which uses an in-memory analytics engine to deliver fast access to tabular data. Tabular data models are built using SQL Server Data Tools (SSDT) and can be created from scratch or by importing a PowerPivot data model contained within an Excel workbook.

Once the model is complete, it is deployed to an SSAS server instance configured for tabular storage mode to make it available for others to use. This provides a great way to create a self-service BI solution, then make it a department solution and then an enterprise solution, as shown:

  • Self-service solution: A business user loads data into PowerPivot and analyzes the data, making improvements along the way.
  • Department solution: The Excel file that contains the PowerPivot workbook is deployed to a SharePoint site used by the department (in which the active data model actually resides in an SSAS instance and not in the Excel file). Department members use and enhance the data model over time.
  • Enterprise solution: The PowerPivot data model from the SharePoint site is imported into a tabular data model by the IT department. Security is added and then the model is deployed to SSAS so the entire company can use it.

As we will learn in the following sections, Power View can be used to analyze and explore the data for all three of these solutions.

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