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Big Data
Thought Leaders in Big Data: Interview with Venkat Viswanathan, CEO of LatentView Analytics (Part 4)
Sramana Mitra: Could you give me an example of a brand for which you would provide this brand perception?
Venkat Viswanathan: You can take a brand from the gaming business. You have Xbox competing with Sony or Nintendo, also competing increasingly with mobile platforms, because from the point of view of gamers, they don’t really care what the device is. They care about the experience. >>>
Thought Leaders in Big Data: Interview with Venkat Viswanathan, CEO of LatentView Analytics (Part 3)
Sramana Mitra: Could you take an example of one or two clients and walk me through the specific functions they are outsourcing with you, and what kind of organization you build for them? What systems and processes are being tackled in your organization as part of the CMO’s extension?
Venkat Viswanathan: I can give you some context for how this works. For instance, one of our clients is Microsoft. It is a portfolio of multiple consumer and business-to-business brands. >>>
Thought Leaders in Big Data: Interview with Venkat Viswanathan, CEO of LatentView Analytics (Part 2)
Sramana Mitra: What format did that take in LatentView?
Venkat Viswanathan: Our vision was clear. We were looking to help companies uncover hidden insights in their own businesses. That is what LatentView primarily does. We have been lucky that the market has been evolving and maturing so much, providing us more and more with fertile ground. >>>
Thought Leaders in Big Data: Interview with Venkat Viswanathan, CEO of LatentView Analytics (Part 1)
Venkat Viswanathan is the founder and chief executive officer of LatentView Analytics, a predictive analytics and enterprise decision management services firm based in Princeton, New Jersey. He holds a degree in engineering from the Indian Institute of Technology Madras and an MBA from the Indian Institute of Management Calcutta. In this interview, Venkat talks about the role of LatentView in big data and about future trends in the industry from the perspective of India.
Sramana Mitra: Venkat, let’s start with some context about both you and LatentView, so that our readers understand where you are coming from – we want to know more about your perspective as what LatentView’s core competency is. >>>
Thought Leaders in Big Data: Martin Smith, SVP, Ad Platforms and General Manager, TruEffect (Part 4)
Sramana Mitra: What do you see as open problems or white spaces? When you look at your customers, what advice would you give an entrepreneur as to which direction to steer?
Martin Smith: There are a lot of solutions in the space that are called point solutions. I see opportunities for people who are able to bring those point solutions together in an efficient manner. >>>
Thought Leaders in Big Data: Interview with Stew Langille, CEO of Visual.ly (Part 5)
Sramana Mitra: The problem with technology companies developing tools for the media, especially for whom you call data journalists, is that they just don’t pay.
Stew Langille: I agree. We found that as well. We came from Mint.com. When I was creating data warehouses, I also ran the marketing team. We took a similar approach to a dealer type in terms of using our data [as] an asset for both branding and the public good – communicating to people and educat[ing] them. >>>
Thought Leaders in Big Data: Martin Smith, SVP, Ad Platforms and General Manager, TruEffect (Part 3)
Sramana Mitra: I would like to talk about a use case that illustrates how customers deploy your big data capabilities.
Martin Smith: I can give you a very good example of one of our clients in the retail space. We do a lot of work with Oreck. Oreck has retail, they have multi-channel, and they have a web store. We took them through that framework of media investment. >>>
Thought Leaders in Big Data: Martin Smith, SVP, Ad Platforms and General Manager, TruEffect (Part 2)
Sramana Mitra: Before we get to use cases, let’s set the context of how you are applying big data issues in your business.
Martin Smith: In our business, every time we serve a piece of media or every time we measure a side activity, we create log records of that activity. On a weekly or monthly basis, we are pulling back billions of records of data for our clients. From a data management perspective, we have been moving away from how we used to do it, which was highly aggregated summarized data, to a much lower aggregation of the data. >>>
