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No Data Scientists? No Problem, Datameer Hopes

Published
  • June 25 2013, 11:43am EDT

Fast-growing Datameer is attempting to automate and simplify advanced analytic capabilities for more common business users – squashing the data scientist demand along the way – with the latest version of its flagship solution for data residing in Hadoop.

Datameer 3.0 comes with pre-packaged analytic algorithms to automate the processes of finding data patterns and provide recommendations of related data to particular users, all through a point-and-click type of data mining from Hadoop repositories which the vendor is calling “Smart Analytics.” Framed like a consumer-side app store, users can click on a few categories for a clustering sheet of more visually oriented analysis, and drag categories of data into columns and rows like a Microsoft Excel document, according to the vendor.

Datameer CEO Stefan Groschupf says the latest iteration of their solution aims for a large section of data users who are interested in better analytics, but when it came to Hadoop or unstructured social media streams, they “really struggled to extract information from this data.” Simplification of advanced analytics is central to expanding the growth of “big data” use and value, especially when deep data acumen may be in short supply, says Groschupf.

“We don’t believe in that hype term ‘data scientist,’ and there will never been enough of them anyway, that’s for sure,” Groschupf says. “If you need a scientist to use a data analytics product, then I believe something is wrong with the product.”

EMA’s John L. Myers said in a release that the announced enhancements “make Hadoop even more usable to the business.” In an encapsulation of the updates to Datameer’s namesake solution, Ventana Research CEO Mark Smith said: “Datameer brings a new generation of analytic discovery that simplifies the application of statistics to determine the future impact of activities to performance.”

To this point, Datameer’s offerings have relied heavily on its founders’ backgrounds with Hadoop, building off integration and some quality elements in moves to bypass traditional EDW and data marts. In the four years since its inception, the San Mateo-based vendor has grown to approximately 100 business customers and expanded to offices in New York and Germany, no doubt with at least partial credit to the massive wave of interest in big data over the last year or so.

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