From “Fast Data” to visualization software to tools used to track “Social Whales,” these Big Data startups have it covered.
The 50 Big Data startups in the Big Data 50 are an impressive lot. In fact, the Big Data space in general is so hot that you might start worrying about it overheating – kind of like one of those mid-summer drives through the Mojave Desert. The signs warn you to turn off your AC for a reason…
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Predixion Software
What they do: Develop predictive analytics solutions.
Headquarters: San Juan Capistrano, CA
CEO: Simon Arkell, who previously spent 15 years working on software company mergers, acquisitions, and management for Gramercy Venture Advisors, Triton Pacific Capital Partners, and Versifi Technologies.
Founded: 2009
Funding: Predixion Software is backed by $33 million in total raised in three funding rounds. Backers include DFJ Frontier, Accenture, and GE.
Why they’re one of the 50: In the past, only large enterprises could afford the big team of data scientists needed to create predictive analytic models and deploy them. Even then, it often took months or even years to create a model and then deploy, and doing that came at great expense. Sometimes, due to the wait, the model would be outdated by the time it hit production. With Predixion, predictive models are created through a simple wizard-driven interface that any BI professional can understand. Predixion enables collaboration and sharing of predictive models among business analysts, data scientists, and information consumers to expedite the predictive process. It integrates into existing enterprise software applications, so predictive insights can be more easily consumed at the decision point. Predixion also enables existing predictive applications to be quickly modified, shared, and redeployed into disparate environments and across multiple data sets.
Predixion argues that their key differentiators are: 1) that it does not require a data scientist,since predictive models can be created by a business analyst with minimal training; 2) their solution can be deployed in a much shorter period of time than competing solutions, and 3) predictive results are delivered directly to the business users who need to take action on the information.
Clients include: GE, Chevron, United States Armed Forces, Kaiser Permanente, Carolinas Healthcare Systems, ThriveHD, and Maritz.
Competitive Landscape: Predixion will compete against IBM, SAS, and Alpine Data Labs.