DataRPM named “Cool Vendor” in Content and Social Analytics By Gartner
DataRPM named “Cool Vendor” in Content and Social Analytics By Gartner May 2014
Vendors selected for the “Cool Vendor” report offer unique approaches to preparing data, finding insights, and making insights accessible
May 08, 2014 09:00 AM Eastern Daylight Time
FAIRFAX, Va.--(BUSINESS WIRE)--DataRPM, the industry pioneer in cognitive Big Data Discovery, today announced that it has been included in the list of “Cool Vendors” in the Cool Vendors in Content and Social Analytics, 2014 report by Gartner, Inc.
“Data and, more importantly, the types of data, such as social media and other unstructured data sources, are growing exponentially. New approaches and types of analysis are emerging to reduce the complexity of data preparation and to unlock hidden patterns across these new sources and enterprise data and to make them accessible to a wide range of business users,” said Gartner in its report.
“Our Smart Machine solution addresses the key barriers to effective Big Data Discovery -- cumbersome, expensive data modeling and difficult to use interfaces. Our solution employs cognitive computation algorithms for the heavy lift and provides a natural language question answering interface, allowing the users to spend more time interpreting, understanding and finding insights within their data,” said Sundeep Sanghavi, CEO of DataRPM. “We clear the hurdles presented by Big Data Discovery for enterprises of all sizes, and we believe inclusion in the Gartner Cool Vendors report adds additional validation to our approach.”
• Access the Gartner Cool Vendors in Content and Social Analytics, 2014 report
• CEO Sundeep Sanghavi on DataRPM’s $5.1 Million Series A: Breaking down the barriers between users and the value of data.
• Learn what is behind DataRPM’s Cognitive BI approach: The Rise of Smart Machines
• Connect with DataRPM on LinkedIn
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DataRPM is an industry pioneer in Smart Machines for Big Data discovery, using cognitive computing technologies. DataRPM solves the two biggest problems of data discovery today: time-consuming, expensive and painful manual data modeling, and a significant software learning curve. DataRPM's patent-pending Cognitive Computational Graph Search technology enables automatic and dynamic modeling of data from disparate sources using semantic and cognitive algorithms, eliminating the need of manually building complex data warehouses for analysis. Using a natural language question answering interface to analyze and visualize data, DataRPM provides a simple question-and-answer interface for Big Data Discovery.
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