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Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines

  • US 20130238551A1
  • Filed: 04/26/2013
  • Published: 09/12/2013
  • Est. Priority Date: 07/07/2011
  • Status: Abandoned Application
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, where the raw data comprises unstructured data;

    metadata storage configured to contain metadata that describes the raw data;

    aggregate data storage configured to contain aggregate data, where aggregate data comprises structured data generated using ETL processes from the raw data;

    an intermediate processing layer;

    a business intelligence reporting engine;

    wherein the intermediate processing layer is configured to automatically;

    generate metadata describing the raw data;

    derive reporting data requirements from the 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 aggregate data from the raw data by;

    filtering the raw data using the structure of the raw data; and

    applying transformations to the raw data based on the structure of the raw data;

    storing the aggregate data in the aggregate data storage;

    generating reporting data including reporting data satisfying the reporting data requirements using the aggregate data; and

    storing the reporting data in a data mart within the intermediate processing layer for exploration by the business intelligence reporting engine;

    wherein the business intelligence reporting engine is configured to;

    receive metadata describing the raw data from the intermediate processing layer; and

    generate a user interface enabling user exploration of the metadata to define at least one report specification, where the user exploration involves selection of additional reporting data using the metadata.

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