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    News and Articles on Online Analytical Processing



    How SQL Server 2008 components impact MOSS  Sep 30, 2009
    SQL Server Analysis Services (SSAS) Analysis Services provides a foundation for business intelligence (BI) applications though online analytical processing (OLAP) and data-mining functionality. BI is one of the six pillars of SharePoint, and it is attracting a lot of interest from both businesses and end users. (SearchWindows2000.com)

    New tool for better business management  Jul 29, 2009
    These data sources include operational applications, data warehouses, marts, RDBMS (relational database management systems), OLAP (online analytical processing) servers, and even, unstructured data. It is critical for companies to have easy access to accurate information so that they can have immediate insights into their business and stay ahead of the competition, said V.R. Srivatsan, managing director of SAP Malaysia Sdn Bhd. (The Star Online, Malaysia)

    How to Leverage the Gravity of Your Intranet  Jul 25, 2009
    Data warehouses and Online Analytical Processing (OLAP) systems are designed to for reporting and analysis but often need a place to house those reports. Using the popularity of the existing systems in the environment coupled with a reporting an analytical system can push your intranet along its way towards growth. (IntranetJournal)

    Panorama Software Debuts NovaView Version 6.0 With New Analytical Application, Data Connector and Collaboration Module  Jun 26, 2009
    Founded in 1993, Panorama is a leading innovator in Online Analytical Processing (OLAP) and Multidimensional Expressions (MDX). Panorama sold its OLAP technology to Microsoft Corporation in 1996; the technology was rebranded as SQL Server(TM) Analysis Services and integrated into the SQL Server(TM) platform. (PR Newswire)

    Gartner says key to BI is talk, not tech.  Feb 25, 2009
    The BI discipline involves analysis of raw data through data mining and online analytical processing which companies can use to find malfunctioning machines, improve manufacturing processors and cut costs. The sticking points, Bertram said, are as much about improving poor communication and BI skills, as sifting useful data from the rubbish. (NetworkWorld.com)




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