Since becoming CDO in September 2014, Schenk has built what was once a fledgling operation consisting of discrete programs into one of the best data analytics operations in local government. Relying primarily on open source software, Schenk and his team have established a rigorous and highly effective predictive analytics effort, including work on food inspection, predicting E. coli in Lake Michigan, forecasting West Nile virus outbreaks and an upcoming project that will predict lead poisoning in Chicago homes.
Schenk credits his skilled advanced analytics team with making predictive analytics both easier and more effective. “They have optimized the use of the city’s workforce, helping the city get ahead of problems and just improving the overall efficiency of the city. This is a skill set we had not really had before,” he said.
Next up will be the creation of a municipal ID for city residents. The key will be to make the card flexible and easy to use, but ensure that it doesn’t capture private information about the holder. Schenk admits the project is challenging because it goes against his inclination to piece together and combine data. Instead, “I’m having to reverse engineer and create a solution that doesn’t exactly do that,” he explained.