Sramana Mitra: You’ve already crossed $5 million revenue. Why did you raise money from Accel India? Nenshad Bardoliwalla: Two of the four founders are actually Indian, but that’s honestly incidental. Prakash and Dinesh have known each other since 1999. Sramana Mitra: I can see why Dinesh would be interested in something like this. I’m just
Sramana Mitra: You founded it in 2012. We are now in 2014. How much adoption have you had following your methodology and in what segment? Where are you finding the sweet spot of your adoption? Nenshad Bardoliwalla: I’m not at liberty to share the exact customer numbers, but we’re above 20 customers at this point.
Sramana Mitra: Let’s look at use cases now that we understand what you do. Let’s do a before and after. If you were not in the picture, what are they able to do? With you in the picture, what are they able to do? Nenshad Bardoliwalla: I’ll give you a story of my own life
Nenshad Bardoliwalla: Typically what we find is that once we prepare the data, that data is then pulled by the consuming applications. However, it’s also important to note that we ourselves do persist with data. A very important part of our value proposition is the notion of data governance. We maintain and cache a copy
Sramana Mitra: It stopped being relational a long time ago. Nenshad Bardoliwalla: That’s right. So if you have S. Mitra in your relational database, Sramana M. in your tweets, and Sramana Mitraa with two A’s at the end in one of your documents, you need to be able to figure out in 2014, regardless of
Nenshad Bardoliwalla: Then I went to work for SAP where I met Prakash. I was running the enterprise performance management product line – planning, budgeting, forecasting, legal consolidation, and activity-based costing. I was deeply involved in acquiring companies like Pilot Software, OutlookSoft, and then Business Objects. After an extensive process of trying to rationalize the Business Objects
Big Data is all very well, but typically, the databases are full of dirty data. Before you can analyze accurately, you have to cleanse the data. Paxata has great insights to offer into the process. Sramana Mitra: Let’s start by introducing our audience to Paxata as well as to yourself. Nenshad Bardoliwalla: Paxata is an