SAP Sees Big Year for Predictive Analytics Using Big Data

Michael Vizard

As larger amounts of Big Data become more accessible with each passing day, finding ways to analyze that information is becoming a higher priority for organizations of all sizes. But as is often the case with large amounts of information, a picture is often worth a thousand words.

Mani Gill, vice president and general manager of SAP advanced analytics, says that when it comes to analytics people and processes are the most overlooked aspects of these projects. Most of the data that needs to be analyzed is isolated across multiple silos and even if people can access it, there is no easy way to visually inspect that data.


With the latest release of SAP Predictive Analysis software, Gill says SAP has embedded all the visualization tools required to analyze models of complex data sets that are now substantially easier to model. To accomplish that goal, the latest version of SAP Predictive Analysis software embeds the SAP Visual Intelligence software in the application while simultaneously adding support for the increasingly popular R programming language.

While SAP Predictive Analysis software can be deployed in a stand-alone fashion, Gill says SAP views SAP Predictive Analysis software as one of the primary applications that will drive adoption of the SAP High Performance Analytics Appliance (HANA) platform. As an in-memory computing platform, Gill says HANA is ideally suited for running predictive analytics applications in real time.

There’s no doubt that the combination of Big Data, analytics and in-memory will transform the way organizations thinks about the value of data in 2013. In fact, it’s the organizations that collectively master these three IT technologies that are going to achieve a sustainable competitive advantage over rivals that fail to keep pace or simply don’t have the resources to keep pace. Of course, gaining the advantage will require a significant investment. The only thing that by comparison would ultimately prove to be more expensive would be failing to make that investment at all.

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Dec 17, 2012 11:00 AM medicalquack medicalquack  says:
I like big data but also see the other side with formulas written for profit only and leaving out some ethics here and there. Yes I just wrote about SAP using the United Healthcare algorithms, the company that used math to short pay doctors and hospitals for 15 year, class action suit recently settled. Anyway what everyone forgets is the huge amount of flawed data, and even the NISS is right there with me on that one. We all hate flawed data and consumers are the free labor to fix it while corporate USA profits by selling a lot of this and it is used out of context. Great video from several IT folks discussion this too and hats off to the gal from T-moble who said some of what they were doing with analytics was "silly". Just have to remember there are flaws and data relationships created for profit that don't really belong there with non linear models. It is what it is. If were SAP I would really look close at the analytics used as should any company. Reply

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