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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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 sap fico interview questions


SAP HANA: From Database to Platform
At the end of 2009, SAP launched SAP HANA, an in-memory, column-row based database management system with capabilities within both OLTP and OLAP environments

sap fico interview questions  the end of 2009, SAP launched SAP HANA, an in-memory, column-row based database management system with capabilities within both OLTP and OLAP environments. In June of 2012, SAP announced that HANA had become the fastest growing technology in the company’s history. In this report, TEC Senior BI and Data Management Analyst Jorge García gives an overview of the history, functionality, and benefits and challenges of SAP HANA, and explores SAP’s strategy for the product and its place in the in-memory

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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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