Healthcare IT Interoperability, EHR interoperability, Hospital Interoperability

Business Analytics and the Data Complexity Matrix

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Sponsored by: Sisense

What exactly makes data complex? In the context of business analytics, there are two key drivers of data complexity:

  • The size of the data (is it millions of rows, 100’s of millions, or billion+)?
  • The number of disparate data sources (or data tables)


These elements drive complexity because the bigger the data, the more effort (cost) needed to query and store it.  The more data sources (data tables) the more effort (cost) that is needed to prepare the data for analysis.  The data complexity matrix describes data from both of these standpoints.  Your data may be Simple, Diversified, Big, or Complex.  When considering a Business Analytics program, different approaches are better suited for each data state.

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