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Software Functionality Revealed in Detail
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 case study business intelligence tools evaluating


The Challenges of a Business Intelligence Implementation: A Case Study
The University of Illinois provides a good example of extensive integration of its business intelligence (BI) solution and data warehousing environment with its

case study business intelligence tools evaluating  Business Intelligence Implementation: A Case Study Company Background More than 70,000 students enroll each year at the University of Illinois , which offers more than 150 fields of study in 30 colleges, free-standing schools, and institutes across 3 campuses: Chicago, Springfield, and Urbana-Champaign (US). The university, one of the original land-grant colleges, opened its doors in 1867, and since then has awarded more than 500,000 degrees. The Urbana-Champaign campus houses the largest public

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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