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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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 advice on business intelligence for electronics


Engineering Change Management 2.0: Better Business Decisions from Intelligent Change Management
Traditionally, change management in product development and engineering has been viewed as a way to control cost and improve efficiencies. But companies are

advice on business intelligence for electronics  benefit from the same advice as Laggards because they are still far from Best-in-Class performance in this aspect. As such, they should put in place capabilities to better collaborate on change requests. Organizationally, develop a cross-functional CRB. Enable the CRB and other impacted parties to participate more fully in evaluating the change by making the details accessible, through visualization technology so non-engineers can interpret and discuss the change to arrive at a better business decision.

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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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