Sramana Mitra: When you are going into accounts, which industry sectors are you seeing the maximum traction in for big data projects?
Ron Bodkin: This is truly a broad-based shift that we see. We are working with Fortune 50 customers in multiple industry sectors, because we see needs of many. Probably the most aggressive adoption and the most advanced business cases today are in the technology sector, where you have technology companies using these technologies. But then you see a broadening of software and hardware manufacturers, network providers, a range of technology companies really leading the charge.
Another sector we see a lot of value and importance in is financial services – banks, brokerages, asset managers, insurance companies, etc. We see significant traction there. Other important areas certainly include retail, especially online retail, are embracing big data. More broadly, we see that a big shift at the first stage of adoption in most organizations is around scalability and cost containment. So, we see IT being the leading force for those. But as you move into more advanced insights, driving better business response and ultimately better business optimization, being able to drive automatic answers and systems of engagement is what is important.
SM: There are a variety of companies that are playing in that layer with vertical solutions. Are you working with some of those?
RB: The real opportunity for these applications comes when you have a complex work flow, where you have internal data, proprietary data as well as public data sets. We are seeing a lot of the first generation of public applications being limited to tactical applications, where there is one data set and they are not able to connect to the same kind of real value that you can get from more of an assembly of components approach. We believe that those high-value compound applications that integrate multiple data sets are significantly more important to the business.
SM: I completely disagree with you.
RB: One of the key elements of big data is the variety of data, and we are seeing that customers are getting a lot more value out of tailoring to their specific data sets rather than off the shelf.
This segment is part 3 in the series : Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics
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