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Systems and Methods for Interest-Driven Business Intelligence Systems Including Geo-Spatial Data

  • US 20150081619A1
  • Filed: 06/24/2014
  • Published: 03/19/2015
  • Est. Priority Date: 09/19/2013
  • Status: Active Grant
First Claim
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1. An interest-driven business intelligence system, comprising:

  • raw data storage configured to contain raw data and perform extract, transform, and load (ETL) processes;

    a data mart configured to contain metadata that describes the raw data; and

    an intermediate processing layer;

    wherein the intermediate processing layer is configured to automatically;

    generate metadata describing the raw data;

    derive reporting data requirements from at least one report specification based on the metadata; and

    compile an interest-driven data pipeline based upon the reporting data requirements, where compiling the interest-driven data pipeline comprises;

    generating ETL processing jobs to generate geo-spatial data from the raw data by;

    filtering the raw data based on the metadata describing the raw data;

    determining bounding data based on the metadata describing the raw data;

    bounding the filtered raw data based on the bounding data;

    generating geo-spatial data based on the bounded filtered raw data; and

    storing the geo-spatial data in the data mart;

    generating reporting data including data satisfying the reporting data requirements based on the geo-spatial data; and

    storing the reporting data in the data mart for exploration by an interest-driven data visualization system.

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