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
Girish Navani has built a $300M+ private company in Healthcare IT that would be valued at over $3B if he were to take it public. We first covered the company in our Entrepreneur Journeys series [Built To Enjoy] in 2010. We continue the discussion here. Sramana Mitra: Let’s pick up from where we left off
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
Sramana Mitra: What is the status of that capability in the Big Data industry today to be able to achieve that balance between protection, privacy, and analytics? Ulf Mattsson: Larger companies and companies providing Big Data distributions like Cloudera and Hortonworks are actually involving third-party security companies like Protegrity to fill the security gaps. For example,
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
Ulf Mattsson: We’ve seen studies talking about how Big Data analytics can revolutionize the way the Internet did many years ago. I’ve seen figures saying that 63% are using it to enhance customer relationships, 58% are using these capabilities to redefine the product and product development, and 56% are using it to change their operations. These create a lot