DataRPM has closed a $5.1-million Series A funding round. Led by InterWest Partners and joined by CIT GAP Funds, the round will be used to accelerate DataRPM’s global go-to-market strategy. DataRPM changes the way individuals work with data, making analytics more accessible and easier to use by solving the two main barriers to the adoption of data analysis – time-consuming data modelling and usability. The DataRPM business intelligence (BI) platform removes those barriers, automating the data modelling process and employing a natural language question-and-answer interface to simplify data analysis and visualization.
“By lowering the cost of ownership and emphasizing usability, DataRPM is making business intelligence a no-brainer,” said Khaled Nasr, Partner at InterWest. “Until now, BI solutions and Big Data have largely ignored the data modelling process. DataRPM uses sophisticated algorithms to automate what is otherwise a heavy manual lift. Their combination of affordability and ease-of-use creates the opportunity for companies of all sizes to get meaningful insights from their data.”
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.
“Our mission is to simplify business intelligence. We provide insights, actions, and results from 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 & CEO, DataRPM.
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DataRPM secures $5.1 Million in Series A to advance Cognitive BI Platform















