Data Insights: What Would You Do If You Knew?

Data Insights: What Would You Do If You Knew?

Data Insights: What Would You Do If You Knew?

When you try to make sense of the petabytes of data flowing across your desk you really don’t know what has value. There aren’t enough hours in the day to carefully parse each data set you have responsibility for. The most practical approach is to add some kind of a tool to automate the process.

Today, we see standard vendors of databases approach this problem with a “bolt on” approach. Just because an organization has an expertise in handling databases does not mean they have earned their stripes in understanding that data.

Alan Ford, director of government systems pre-sales for Teradata, joined Federal News Radio to discuss the state of data analytics today. Teradata has been in business for almost 40 years constantly learning better ways to understand data. Advances in storage have made the cost of storage a minor issue. What is top of mind is seeking to understand how to maximize those mountains of data.

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Teradata has been involved in a wide range of data analytics both in the United States and around the world. They have helped large insurance organizations leverage data sets to improve service to customers and reduce fraud. Federal information technology professionals can take advantage of this range by applying it to their unique range of concerns: everything from the National Aeronautics and Space Administration (NASA) to fraud detection to cyber security.

One way that it can become useful is by deploying it to understand the frequency of repair for aircraft.  During the discussion, Ford addressed how Teradata has assisted agencies in understanding the frequency of repair and how to reduce costs by being able to predict future events.

John Gilroy has been a member of the Washington D.C. technology community for over twenty years. In 2007 he began weekly interviews on Federal News Radio called “Federal Tech Talk with John Gilroy.”   His 428 interviews provides the basis for profitable referral business.

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