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Chapter 8
                               SAP is not the only ERP provider with in-memory capability. In February 2012,
                           Oracle released its in-memory solution for business analytics called Exalytics. Both SAP’s
                           and Oracle’s in-memory solutions are designed to analyze what is now being termed
                           “big data.” Big data refers to the enormous amount of data that is now available for BI use
                           from all the available sources, including ERP systems, Web sites, corporate databases,
                           scientific research, Twitter, and other social networking applications. Big data needs fast
                           computing to be usable, and in-memory computing allows for rapid processing. New chips
                           designs, such as chips made from carbon rather than silicon, may be the answer to
                           creating even faster machines. Computing’s processing is moving towards memory and
                           away from the processor, according to experts in the field such as John E. Kelly, the head
                           of IBM research. Big data is generating a lot of interest and investments from large
             222           companies. The total investment in big data technology is in the billions of dollars, which
                           includes investments by many companies other than SAP and Oracle, including IBM,
                           Microsoft, and Hewlett-Packard.
                               Many feel that BI and its capabilities are strategic assets to an organization that can
                           be used to enhance future growth and viability, and some experts now say that companies
                           should be hiring a chief data officer who can link the data with the computing power and
                           the strategy of the organization.
                               According to Gartner Research, in 2011, only 30 percent of employees in
                           organizations with BI tools were actually using them. This low rate of use is due to the
                           fact that BI software is often difficult to use and slow to perform, and the data is
                           sometimes of limited relevance for end users. Gartner anticipates that as BI tools
                           become easier to use, organizations with BI capabilities will have about 50 percent of
                           their workers using the software by the year 2015. Worldwide revenue in the business
                           intelligence, analytic applications, and performance management software market rose
                           16 percent to $12.2 billion in 2011 from $10.5 billion in 2010, according to a report
                           from Gartner. SAP was the market leader in BI and analytics with a 24 percent market
                           share. The report also showed that BI analytics was the top technology priority for CIOs
                           in 2012.


                              ANOTHER           LOOK


                              Recovery.gov
                              Even the federal government is getting into the BI arena. As part of the American
                              Recovery and Reinvestment Act of 2009 (also known as the “Recovery Act”),
                              the Recovery.gov Web site was created to serve as “the U.S. government’s official
                              website that provides easy access to data related to Recovery Act spending and allows
                              for the reporting of potential fraud, waste, and abuse.” With an interactive, user-friendly
                              interface and a set of highly interactive BI tools, the site allows the average citizen to
                              easily review the various destinations for tax dollars spent under the Recovery Act. The
                              site’s BI tools let users review preexisting charts and graphs or create their own. Filters
                              are available for the data, and the results can be emailed or exported. Figure 8-3 shows a
                              sample output of the top 10 states by funds awarded from the Recovery Act of 2009, as
                              an example of a BI query.
                                                                                            (continued)





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