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History of Business intelligence

In a 1958 article, IBM researcher Hans Peter Luhn used the term business intelligence. He defined intelligence as: the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. In 1989 Howard Dresner (later a Gartner Group analyst) proposed BI as an umbrella term to describe concepts and methods to improve business decision making by using fact-based support systems. It was not until the late 1990s that this usage was widespread.

 
What is Business intelligence?
is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
 
Business intelligence implementation decision factors
Following are the factors that affect the decision making process of an BI implementation:

1.Reporting and Analysis Tools

  • Features and functionality
  • Scalability and deploy ability
  • Usability and manageability
  • Ability to customize

2.Databases

  • Scalability and performance
  • Manageability and availability
  • Security and customization
  • Ability to Write back

3.ETL Tools

  • Ability to read any source
  • Efficiency and productivity
  • Cross platform support

4.Costs involved

  • Hardware costs (actual or opportunity)
  • Costs of software (ETL, databases, applications and front-end)
  • Internal development costs
  • External developments costs
  • Internal training
  • Ongoing maintenance

5.Benefits

  • Time savings and operational efficiencies
  • Lower cost of operations
  • Improved customer service and satisfaction
  • Improved operational and strategic decision making
  • Improved employee communications and satisfaction
  • Improved knowledge sharing
   
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Pooya Gheidarpour

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