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Democratizing Analytics with Predixion Software
By Brett May
When people in big organizations want analytics, they tend to take one of a couple common routes. First, you can seek out the support of a data scientist, a Ph.D with a rare and valuable skill in analyzing large sets of data. Data scientists frequently use expensive and complicated software packages. Often, there’s a long wait involved for an answer. As an alternative, you can go to the analyst down the hall who’s a Microsoft Excel whiz. While he can quickly play around with the data, his toolkit is limited, as is his technical ability to handle big data sets.
At GE we understand the need for analyzing and manipulating big data quickly, and extracting insight from information in a more intuitive way. We work closely with our skilled data scientists around the globe to solve problems, but we also recognize that not every company has access to analytics experts or solutions.
GE Ventures recently invested in a company called Predixion Software that helps close this access gap between organizations and analytics. Predixion makes software that simplifies the user experience of analytics while offering an expanded toolkit. The result is self-service predictive analytics in a familiar, Microsoft Excel-based format. There’s a workbench and deployment framework that makes sharing and collaboration easy for the user, putting data-driven decision making into the hands of more customers, sooner. Additionally, Predixion runs in the cloud and allows analysts of varying skill levels to connect to big data sets (like those running on Pivotal, another GE investment) and other kinds of databases, and use an expanded set of analytical tools. Predixion has already attracted some marquee customers like Kaiser, Aetna, Chevron and the US Air Force.
For the healthcare industry in particular, Predixion is vital in uncovering important insights from massive amounts of patient data – helping healthcare providers better understand and manage risk to their patients’ health. For example, providers can determine patients with a high risk of readmission into the hospital for the same injury based on patient data, helping to circumvent industry regulations and penalties.
We are increasingly relying on data science to answer some of the world’s most challenging and complicated analytics questions. If we can simplify access to analytics, and do it within the context of a tool like Microsoft Excel that virtually every GE customer uses to run major parts of their business, then we will have significantly reduced one major speed bump in the widespread adoption of the Industrial Internet – where intelligent machines are already creating plenty of data. Congratulations to Predixion and best wishes for a profitable future in democratizing analytics.
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Brett May is Head of Business Development and Venture Capital at GE Software. For GE Ventures, he leads acquisitions, investments, alliances and ecosystem partnerships at the Software Center as well as GE’s software venture investing program.