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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 selection of bi for automobile


SaaS Buyer's Guide for Wholesale and Distribution
SaaS, despite its phenomenal popularity, is certainly not one-size-fits-all. You need to consider decision criteria such as fit, return on investment, and risk.

selection of bi for automobile  strong indicators for precise selection of a SaaS model. And there are a myriad of options when it comes to SaaS. Organizations must grasp nuances inherent in the different models they evaluate, along with understanding the difference between SaaS, hybrid, hosted, and in-house—and any combinations thereof. Quite often, a hybrid deployment model can be a good alternative to a wholesale organizational shift to SaaS. At a recent conference, All About the Cloud (a popular SaaS industry event),

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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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