| Monday, February 25, 2013 | |  | | Doug Henschen | | | | | Gartner sees data-driven companies as maturing from descriptive reports and queries that detail current conditions to diagnostic analyses and visualizations that reveal why performance lagged in some areas and excelled in others. The next step up is to predictive analytics that tell you where things are headed, and finally on to prescriptive analytics that guide decisions for optimum performance.
On this path from descriptive to prescriptive, most companies are moving into the diagnostic stage, according to Gartner's 2013 "Magic Quadrant for Business Intelligence and Analytics Platforms," released earlier this month. What's powering the trend, says Gartner, is a move toward "decentralization and user empowerment of BI and analytics," thanks to a new breed of data-discovery tools.
Not covered in the report is an emerging breed of big data analytics platforms from the likes of Datameer, Karmasphere and Platfora, but change may be ahead for Gartner's report whereby these and other vendors not currently covered might find a home in a new quadrant report.
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Doug Henschen
Executive Editor, InformationWeek | |  | |  | | DOWNLOAD INFORMATIONWEEK'S LATEST DIGITAL ISSUE Software is driving storage innovation, but solid-state technology is infiltrating all levels.
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NEWS & ANALYSIS SEC Makes Big Data Push To Analyze Markets The Securities and Exchange Commission is now collecting 400 gigabytes of market data daily, including information on every trade across numerous exchanges, as part of what SEC chairman Elisse Walter on Tuesday called an "unprecedented" push to use data to better understand how the market works. The big data effort, which centers around a system known as the Market Information Data Analytics System (Midas), is being used not only to understand market trends and rapidly emerging modes of trading such as high-frequency trading but also, according to the SEC, to inform future policy making. Is Healthcare Big Data Ready For Prime Time? Big data, one of the hottest trends in business technology, is making its way to the U.S. healthcare industry. But is it ready for prime time? CIOs at some of the nation's largest healthcare organizations say yes, but even the truest big data believers acknowledge that it's better suited to big healthcare systems than to small and midsize hospitals and physician practices. Big Data Myths Persist The rush to put a "big data" label on every new use of data risks diluting the meaning of the phrase and, worse, may lead some organizations down a disappointing road, say two seasoned IT executives.
What A Data-Driven Culture Buys You
A survey released by the Economist Intelligence Unit indicates executives who say their organizations handle data collection, analysis and sharing well are also more likely to say their companies outperform their industry peers.
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Context Relevant, a modeling and analytics software developer, strives to make big data app development faster and less expensive for enterprises.
| JOIN THE CONVERSATION Posted By Ellis Booker: "My interviews during the past several months point to technical and regulatory obstacles, unique to healthcare, that will make it difficult to achieve the promise of big data. From a technical standpoint, I'm told there are still many, many siloed systems in the healthcare IT ecosystem that don't share data easily. On the regulatory front, of course, there's the 1996 Health Insurance Portability and Accountability Act (HIPAA), which includes privacy rules that make some sorts of data sharing difficult. Can these dual problems be overcome? I'd say so, particularly as IT is seen as one important tool for streamlining healthcare and managing its runaway costs in the U.S."
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