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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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 bi organizational scope


Improving Organizational Performance Management through Pervasive Business Intelligence
You’ll increase your chances of business intelligence (BI) project success and overcome technical and other challenges if you follow a methodology. To begin

bi organizational scope  Business Processes | SAP BI Articles | Organizational Culture | Performance Management Best Practices | Business Intelligence Best Practices | What is BI | What is BPM | Performance Measurement | Why Use Business Intelligence | Why Use Performance Management | Data Governance | Business Process | Change Management | Knowledge Management | Data Management | Performance Evaluation | Performance Indicators | Business Performance Software | IT Governance | Increasing BI Pervasiveness | Metrics | Ongoing

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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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