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March 22, 2010

Sybase IQ In-database Analytics: Unlocking Value in Big Data with Partner Solutions

I had recently co-authored an article on Predictive Analytics in Sandhill.com where buzzwords like Data Mining, Forecasting, Predictive Modeling, and Decision Optimization were generously sprinkled. Surely, we had no intention of sounding glib unless these words were significant in what they represent in practical terms. Just to understand how critical these advanced analytical concepts have become in today’s world, you just have to appreciate the context in which they are applied.

In a series of articles on information management in The Economist the focus was on uncovering value from Big Data. Big Data being the context for business intelligence. In one of these articles, The Economist points out that according to a 2008 study by International Data Corp (IDC), a market-research firm, around 1,200 exabytes of digital data would have been generated that year. The critical issue, however, is not just the mangement of such vast amounts of data, but analyzing them using the buzzword concepts above that will lead to a myriad of effective business decisions, or at least corroboration of such decisions, on the basis of computer algorithms rather than hunches. And these new business insights don’t just come from analysis of ”dead data”: stored information about past transactions but also through analysis of real-time information flows. The application areas are both deep and broad – from analytics in capital markets to mining customer data in telecomunication, e-commerce and healthcare. The common roadblock, however, continues to be inefficiencies in sifting through big data in these scenarios. Speed, Accuracy, and Data Volume continue to confound traditional database and analytical tools. Enter Sybase IQ In-database Analytics.

Back in summer of 2009, we introduced Sybase IQ v15.1 with advanced In-database Analytics capabilities that was built ground up to specifically show the business world a new and efficient way of dealing with analysis of Big Data. The key elements of Sybase IQ In-database capabilities rests on the simple (yes, simplicity does offer elegance) fact that if we push complex analytical computations closer to data – good things happen. We have not only embraced this concept ourselves but also invited partners to plug-in their sophisticated algorithms into the high performance Sybase IQ engine. One such partner is Fuzzy Logix – who have ported their extensive array of efficient statistical and predictive analytics algorithms library under the package name DBLytix on Sybase IQ using the In-database Analytics API. In a three part series blog following my write up today, Fuzzy Logix COO, Michael Upchurch, will outline his views on the world of In-database predictive analytics from a real world application angle. On to Mike ….

Posted by Sybase IQ at March 22, 2010 3:07 AM