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Enabling Business Intelligence using Rules

Updated: Apr 11, 2019

If we look at across all the functional services w/in the Business Intelligence (BI) set of assets (see below), we may want to identify opportunities to abstract logic (esp. where it is fairly complex and/or dynamic).  There is an area where we can apply a rules-engine (down the line) to provide an order of magnitude more agility and significantly reduce ongoing maintenance.  Rules engines have been used heavily in other companies throughout the supply chain and it has proven reliable and scalable.  Another application of rules is when incorporating policies and compliance around the access, manipulation and distribution of data (from fact data through information and answers).

BI Assets:

  • ETL Data Services

  • Data Warehousing Services

  • Data Mining Services

  • Data Aggregation Services

  • Data Storage Services

  • User Profile Services

  • Fact Data Management Services

  • Dimensional Management Services

  • Insight data Management Services (7)

  • Meta data Management Services

  • Measures Management Services (1)

  • Data Integration Services

  • Search & Retrieval Services (2)

  • Analytic Services (3)

  • Presentation Services (4)

  • Event Management Services (5)

  • Scheduling Services (6)

(1) (Base + Combo Calcs applied win Aggregation & Analytic Services)

(2) This is more than just queries or use of search engines.  This is a framework of services that has a high “R” factor (reuse).

(3) Goes beyond infocubes & in-stream application of measures (requires application of rules, weighting and inferencing)

(4) Covers everything from reports, KPIs, powerpoints, spreadsheets to a list of questions.

(5)  Provides triggering, management & monitoring mechanisms for process execution (manual or automated)

(6) Need to tap into the existing scheduling services

(7) need to incorporate 3rd party & internal feeds to drive insight reporting


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