Ghosh on new data tools
VERILYTICS IS A relatively small company trying to pioneer a big space. The company has developed a set of real-time data analysis tools that companies such as Avon, Household Finance, and Cisco are using to support their e-business initiatives. In an interview with InfoWorld Editor in Chief Michael Vizard, company CEO Shikhar Ghosh explains why it's a lot more important to figure out how you are going to use data than it is just to collect it.
InfoWorld: What exactly does Verilytics do?
Ghosh: We are creating a platform for solving the problem of taking information within a company and making it useful to individuals who use it. The space we're in is "e-Analytics." What we do is take lots of information, connect into back-end systems, and then apply a set of analytical modules to distill that information down so that people can then use that information. We have a way of taking everything the user actually uses, and the rules that they apply, to create a data warehouse on steroids at the back. It's all done in memory. We draw in only the information from other sources that's actually being used by users to do analytical work. Because of that, the scaling properties are much larger and we can have real-time information that gets used.
InfoWorld: Where is this tool most applicable?
Ghosh: The application in which we're starting to apply the technology a lot is in the financial services area, especially for people who need real-time aggregation analysis of lots of data to do their jobs. We're also seeing some applications in the consumer space where they have a lot of information that they're trying to get out to either their sales reps or to a broad consumer-base. We're seeing the use of this information in places where information is changing a lot, but people don't have the time to keep watching it -- places like a business-to-business exchange, where you have an end-user who wants to see what's going on there but doesn't have the time to manage it.
InfoWorld: What are the specific products?
Ghosh: There are three products that we have, and one that is still being built. The first one is a rendering engine that takes a variety of information a user might need, provides a set of personalization criteria, and then delivers that to the user. The second product is an alert engine that sits on the network. It looks at all the data sources that are coming in, and when certain events occur, it sends out an alert. The alert engine has behind it an analysis engine. What we're doing there is taking all of the information from the back-end sources and reclassifying them according to what users actually do. And then we have, for want of a better word, a language by which this information can
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