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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.
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 difference between mis and bi


Integration and Consolidation of Business Intelligence within Business Performance Management
A growing measure of business performance is financial performance management. Leveraging business intelligence (BI) to map business performance goals requires

difference between mis and bi  still persists over the difference between business performance management (BPM) and business intelligence (BI). The difference is best described this way: if BPM is the goal, then BI is the way to reach that goal. Combined, they assess performance management , which helps organizations align strategies by tracking and analyzing key performance indicators (KPI). BPM is the dashboard of the enterprise; it helps decision makers by providing accurate, detailed, and timely information on the status of the

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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.

Compare Now

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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