How Kansas City uses big data to save big in the city budget

Kansas City CIO Bob Bennett explains how the city uses data analytics for predictive maintenance.

Video: How Kansas City is using data analytics for predictive maintenance Kansas City has a fully developed analytics package for smart city infrastructure. It predicts where potholes will occur, and it also includes crime prediction.

Recently, Kansas City finalized all of its phase one deployments for becoming a smart city which includes: 328 Wi-Fi access points, 178 smart street lights, and a fully developed analytics package.

Kansas City chief innovation officer Bob Bennett explained how the city is using big data to improve areas of the city.

SEE: Smart cities: The smart person's guide (TechRepublic)

"We're getting control of the city data as it exists today," Bennett said. By using 4,500 data sets, ranging from water usage to permitting data to public health data, we're getting a good idea to what the pulse of the city is from existing things the city has always done, he said.

The city implemented a crime prediction program to better understand where crime will occur, and who can help prevent it,as well as a pothole prediction program to improve their street maintenance.

"[The program] lets us figure out how to do regularly scheduled maintenance, and saves a significant chunk out of the city maintenance budget."


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Image: iStock/blyjak