Available both on-premise and in the cloud, DataRPM’s business intelligence platform pulls data from disparate sources and stores it in distributed computational search index, rather than a traditional data warehouse and provides a natural language and search-based query interface to analyze the data, rather than SQL or other code-based interfaces. As a result, users can easily analyze and visualize their data in near real-time with no limit to the size of data.

“We have used several BI tools in the past and with each we spent significant amounts of money and time on setup. We had trouble scaling and adapting to business changes. The solutions were also quite technical and required extra analyst involvement, distancing our business users from the data they needed,” said Shankar Rao, CTO of Transaction Network Services. “DataRPM came in and in less than 30 days provided us with an end-to-end BI solution with a significant cost of ownership reduction.”

“Our mission is to simplify business intelligence. We provide insights, actions, and results from of the massive amount of data with a machine first, removing the cumbersome manual lift. Pairing our computational search platform with machine learning and natural language interface, greatly simplifies the process of gaining insights from data,” said Sundeep Sanghavi, co-founder and CEO of DataRPM.

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