Thought Leaders in Big Data: Interview with Prem Uppaluru, Co-Founder, CEO and President of Transera (Part 1)

Prem Uppaluru is co-founder, CEO, and president of Transera. The company collects data from numerous contact centers, turns unstructured data into structured data, and drives insights that improve customer satisfaction and engagement and helps predict trends. Prem has more than 25 years of experience in the telecommunications and networking industry. Prior to Transera, he held executive roles in Telera, VOIS Corporation, and Novell. In this interview he paints a detailed pictured of how Transera drives insights from the data the company collects and how those insights are being put to use in contact centers.

Sramana Mitra: Prem, let’s set some context about Transera and about you.

Prem Uppaluru: I am an engineer by training. I attended IIT in Bombay, and I have a PhD from the University of Texas. I worked in the research and development area for about seven to eight years at Bell Labs, branched off to more entrepreneurial careers, and have been a serial entrepreneur since then. >>>

Thought Leaders in Big Data: Interview with Todd Goldman, VP and GM for Enterprise Data Integration at Informatica (Part 4)

Sramana Mitra: If you were to present the industry layers of infrastructure that are going into making that transition from analyzing samples to analyzing actual data, what does that landscape look like?

Todd Goldman: There is the raw data warehouse, which today is evolving to be the Hadoop layer. I don’t think the legacy appliances will go away – they are still used for reporting. But for pure analytics, we have the raw data warehouse and the Hadoop layer. >>>

Thought Leaders in Big Data: Interview with Todd Goldman, VP and GM for Enterprise Data Integration at Informatica (Part 3)

Sramana Mitra: Are there any other verticals?

Todd Goldman: Telecommunications is another one. This is a never-ending topic. When I started my career in HP years ago in network management, I sold to the telecom market, and they were trying to solve the problem of churn. >>>

Thought Leaders in Big Data: Interview with Todd Goldman, VP and GM for Enterprise Data Integration at Informatica (Part 2)

Sramana Mitra: I would like to take three of your customers where this is happening. Let’s talk through three use cases and customer scenarios.

Todd Goldman: There are two major scenarios that we are seeing of how people are using Hadoop. One is that over time, companies have bought traditional data warehouse appliances. They have taken all their data and shoved it into those data warehouse appliances. This was before Hadoop even existed. The problem they ran into was a cost containment problem. >>>

Thought Leaders in Big Data: Interview with Todd Goldman, VP and GM for Enterprise Data Integration at Informatica (Part 1)

Todd Goldman is the vice president and general manager for enterprise data integration at Informatica, a company that provides data integration software and services based on big data analytics. Todd holds a BSEE in engineering from Northwestern University and an MBA in Business from Northwestern University – Kellogg School of Management, having worked for IBM, ScaleMP, and nlyte Software prior to Informatica. In this interview he talks about Informatica’s unique value proposition in the big data space and emphasizes important aspects for entrepreneurs to be aware of when building a startup in this space.

Sramana Mitra: Todd, let’s start with setting some context for our audience, involving your personal background as well as Informatica’s expertise and work in the realm of big data. >>>

Thought Leaders in Big Data: Interview with Constantin Delivanis, CEO of BDNA (Part 5)

Sramana Mitra: Domain-specific business logic that allows you to contextualize. You cannot contextualize anything without domain-specific business logic.

Constantin Delivanis: That is correct. We have a massive catalog with roughly 500,000 products and roughly 35 million data points that allow to add context. Of course there is logic, you are right. You take this data that is now contextualized and you know, out of those 450,000 desktops, which can be migrated because all their applications are compatible with Windows 7, and this data now gets fed. >>>

Thought Leaders in Big Data: Interview with Constantin Delivanis, CEO of BDNA (Part 4)

Sramana Mitra: The vision of this part of the world you are seeing is that this data brokering layer, which is absorbing all this device data coming from all over the place, is going to be captured and managed and break out onto different layers as well. And you will see a platform as a service layer to do the horizontal part of it. Then there are going to be apps developed on this platform as a service that are going to provide the contextualization and the domain-specific business logic. >>>

Thought Leaders in Big Data: Interview with Constantin Delivanis, CEO of BDNA (Part 3)

Sramana Mitra: Bridge for us where your introduction of the Internet of Things comes in here.  Of these applications you described, none of those speak to that trend.

Constantin Delivanis: Let’s take MRIs as an example. In this particular case, they do not have a silo: we grab the data directly from the devices. You have to have both. >>>