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Top 10 Trends in Business Intelligence for 2010

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    Top 10 trends in BusinessIntelligence for 2010R .K .M A N O J J

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    SYNOPSISIntroduction

    1. Increased data and business intelligence program governance

    2. Enterprise-wide data integration: A good investment

    3. The promise of semantic technologies

    4. Expanding use of advanced analytics

    5. Narrowing the gap between operational systems and the data warehouse

    6. Data warehousing and business intelligence: A new generation drives new priorities

    7. Growing impact and opportunity of Complex Event Processing

    8. Growing importance of integrating and analyzing unstructured/semi-structured data

    9. Social computing and the next frontier for business intelligence

    10. Growing interest in cloud computing for business intelligence

    Conclusion

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    INCREASEDDATAAND BUSINESS INTELLIGENCEPROGRAM

    GOVERNANCE

    BI is becoming more pervasive

    Inter organizational collaboration and Cross departmental

    integration

    Top initiavives: Data quality, Advanced analytics, Data governance and MDM

    Intent to invest within 12 months

    Formal governance 53 percent MDM 52 percent BI competency center 45 percent Standard taxonomy 40 percent

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    ENTERPRISE-WIDEDATA INTEGRATION:A GOOD

    INVES

    TMEN

    T For many years, data warehouse and BI

    environments were built one application, onereport, one data mart at a time.

    Their efforts demonstrate the cost savings of acomprehensive data integration approach replacingmultiple isolated redundant projects.

    BlueCross BlueShield (BCBS) of Kansas City

    Benefiting 4,0005,000 offices.

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    THEPROMISEOFSEMANTIC TECHNOLOGIES

    Semantic Web3, which isan extension of the Web,information is given a

    well-defined meaning sothat computers can relateinformation in ameaningful way andinterpret and act on itappropriately

    Commercial application ofthis technology is

    becoming more

    widespread. Semantic

    technologies are beingused today to:

    Automate product

    reclassification.Enable accurate and

    consistent diagnosis andTreatment across a

    hospital managementcommunity.Perform dependency

    analysis for managing andreconfiguring software

    assets.

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    NARROWING THE GAP BETWEENOPERATIONALSYSTEMS

    ANDDA

    TAWARE

    HO

    USE

    Traditional data warehouses often do not provideup-to-the-minute data or results of analysis that istimely enough for making operational decisions

    Where activie data ware housing has beenattempted and the results are brittle and resistantto change due to labour intensive

    The EDW will evolve to be more virtualized,

    distributed and real time, transparentlyprovisioning data from diverse formats and servingapplications with in-database and in-streamanalysis and execution.

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    Growing interest in cloud computingfor business intelligence

    Cloud computing customers do not own the physicalinfrastructure, instead avoiding capital expenditure

    by renting usage from a third-party provider.

    They consume resources as a service and pay onlyfor resources that they use.

    As BI solutions increase in complexity,organizations find it more difficult and expensive tofind and keep skilled in-house personnel.

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    To manage cost and complexity, organizationshave begun to run IT like a services business

    The promise of cloud computing, either privateor public, is shared resources, standardtechnology, and automated provisioning

    processes. For both in-house IT shops andoutsourced service providers, this candramatically reduce operating costs and offernew capabilities

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    EXPANDING USEOFADVANCEDANALYTICS

    Advanced analytics is the critical enabler in turningdata into insight.

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    Data warehousing and business intelligence:A newgeneration drives new priorities

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    Data warehousing and business intelligence:A newgeneration drives new priorities

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    Growing impact and opportunity of Complex EventProcessing

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    Growing importance of integrating and analyzingunstructured/semi-structured data

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    Soci

    al computing

    and the next frontier for businessintelligence

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    Soci

    al computing

    and the next frontier for businessintelligence


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