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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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 intel server trends


Intel Server Trends
The Intel-based server market is one of the most hotly contested segments in the industry. What are the key trends in this market, and what will they mean to

intel server trends  Server Trends Intel Server Trends R. Krause - May 9, 2000 Introduction: The product space being examined is Intel-based servers (still known as PC servers in some areas). In this note, we will examine how five key trends affect users, vendors, and the product(s). In the Intel-based server market, there are five trends of note: Market consolidation Consolidation of servers within a company Focused functionality, e.g., server appliances Movement toward Linux/Linux vs. NT Stratification/segmentation

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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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