Name: MAKING A DATA DRIVEN GOVERNMENT ORGANIZATION
Start: 2016-09-01T18:30:00-05:00
End: 2016-09-01T20:45:00-05:00
Location: Gleacher Center

Event Details
Chicago's Chief Data Officer will present what it means to make data-driven government organization using predictive analytics to drive decision and optimize city work.

The City of Chicago's data science team is working to make data open, transparent, and a utility to drive a better, more efficient government. Starting by making data available to the public with an Open Data Portal, Chicago now uses predictive analytics to drive decisions and optimize city work. Chicago's Chief Data Officer will describe how an organization of 33,000 employees who service over 3 million customers has implemented analytics in the organization and discuss some early projects.

Cost
$10
Week of 08/29: $15
At the Door: $20

Registration will close at 12pm (CST) the day of the event. You may register at the door. Please have cash or check. We will be unable to accept a credit card payment.

Registration - Deadline: 9/1/2016
http://www.cvent.com/d/4vq9f4/4W

Speaker Profiles
Tom Schenk (Speaker)
Chief Data Officer, City of Chicago
http://www.cityofchicago.org (http://www.cityofchicago.org/)

Tom Schenk is a researcher, author, and an expert in a number of fields, including open government, data visualization, business and research and policy in education. He is currently the Chief Data Officer at the City of Chicago, which includes overseeing Chicago's open data portal, advanced analytics team, and the City's data and business intelligence team. He leads the strategic use of data to improve the efficiency of city operations and improve the quality of life for residents. Tom has lead the expansion of Chicago's leading open data portal, deployed predictive analytics in the City to improve data services, and has streamlined the City's data operations. He has previously served for Institutional Effectiveness and Accountability at the Iowa Departments of Education , Authored Circos Data Visualization How-To, led STEM policy in Iowa and was a lecturer at Grand View University. He earned a Master's degree in economics from Iowa State University and a Bachelor's from Drake University.

Don't forget to join our LinkedIn group page, Chicago Booth Big Data & Analytics Roundtable, https://www.linkedin.com/groups/8475948

Roger Moore

Chicago Booth Big Data & Analytics Roundtable

Technology

Business Intelligence

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Business Analytics

Data Science

MAKING A DATA DRIVEN GOVERNMENT ORGANIZATION

Gleacher Center

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MAKING A DATA DRIVEN GOVERNMENT ORGANIZATION

Chicago Booth Big Data & Analytics Roundtable

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