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Aug 31 2009

Technologies That Are Reshaping Business Intelligence

Posted by John in Analytics, Business Intelligence

What do predictive analytics, real-time monitoring, in-memory processing, and SaaS have in common?  According Doug Henschen at InformationWeek, they’re all a part of next-generation business intelligence.

Next-generation BI has arrived, and three major factors are driving it: the spread of predictive analytics, more real-time performance monitoring, and much faster analysis, thanks to in-memory BI. A fourth factor, software as a service, promises to further alter the BI market by helping companies get these next-generation systems running more quickly.

Interesting article with a number of good points.  What’s your take?

This entry was posted on Monday, August 31st, 2009 at 8:58 pm and is filed under Analytics, Business Intelligence. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

One Response to “Technologies That Are Reshaping Business Intelligence”
  1. Michael Zeller says:
    September 1, 2009 at 3:17 pm

    Excellent overview article and I definitely agree with the statement that

    “most companies also need to couple low-latency insight with automated response”.

    This is where the real-time execution of predictive analytics as part of any operational system will provide the greatest value. With data mining standards maturing and cloud computing / SaaS options emerging, we need a new breed of solutions which embrace predictive decision models as core asset of a broader enterprise decision management strategy.

    For a perspective, please see the recent panel discussion on open standards and cloud computing at the leading data mining conference KDD 2009.
    http://adapasupport.zementis.com/2009/07/kdd-2009-panel-report-open-standards.html

    We at Zementis ( http://www.zementis.com ) have combined a fully standards-based, real-time decision engine with SaaS on the Amazon EC2 cloud to deliver operational predictive analytics without the complexity or high cost typically associated with such projects.

    Real-time Predictive Analytics + In-memory Analysis

    Now how about combining real-time predictive analytics processing with in-memory analysis? For that, we were selected by SAP as a winner in the SAP BusinessObjects Explorer contest, linking our ADAPA real-time predictive analytics scoring engine on the Amazon EC2 cloud to the BusinesObjects Explorer running on the SAP cloud.

    http://adapasupport.zementis.com/2009/05/sap-selects-zementis-as-winner-in-sap.html

    To summarize the next step for BI with a quote from Goethe:
    “It is not enough to have knowledge, one must also apply it.”

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