FAIRFAX, Va. -- (BUSINESS WIRE) -- DataRPM, the world's leading platform for instant big data discovery, today announced that Sean Mulvihill has joined as Vice President of Sales and Marketing.
The new hire comes on the heels of hyper-growth for the company, with subscription revenues 29 times greater in Q2 2014 compared to the same period last year.
“Sean’s deep experience in enterprise software sales management and passion for leading early stage ventures make him the ideal person to take our go-to-market strategy to the next level,” said Sundeep Sanghavi, co-founder and CEO of DataRPM. “The scope of our ambitions and our anticipated future growth in the enterprise market demand an executive of Sean’s caliber, and we’re delighted that he’s joined us.”
Prior to DataRPM, Mr. Mulvihill was Vice President of Sales and Marketing Operations at Monitise, a pioneer in mobile banking and payments that served 7 of the top ten banks in the United States and over 350 financial institutions worldwide. Previously, Mr. Mulvihill led inside sales for AppStream (acquired by Symantec) and founded American Hopper, a small business intelligence firm in Silicon Valley.
Mr. Mulvihill began his career as a stockbroker in 1994, focusing on emerging technology companies at the dawn of the Dot Com boom.
"DataRPM helps businesses and organizations gain instant insights into their big data,” said Mr. Mulvihill. “With our patent-pending Computational Search Graph technology, we have cracked the code on big data discovery.”
“Moreover, DataRPM’s user experience really sets us apart. Our Natural Language Search Interface is a game-changer. You don’t need to write queries. You simply ask your data a question and get instant, visual results. This brings big data to the masses. And that’s a big enough deal for me to want to be here.”
DataRPM is an industry pioneer in cognitive data discovery, the next generation of big data technology, delivering hyper-fast results to organizations challenged by the volume, velocity and variety of their big data. Our patent-pending Computational Graph Search technology enables hyper-smart, automatic modeling of data from disparate sources using semantic algorithms, eliminating the need to manually build complex data warehouses for discovery. DataRPM also creates hyper-fluid data lakes, enabling a more agile way to access and manage big data from multiple sources. Using a hyper-aware, natural language search interface to analyze and visualize data, DataRPM provides an easy, question-and-answer user experience for big data discovery. DataRPM was named “Cool Vendor” in Content and Social Analytics by Gartner in 2014.