Data Analytics - Success Story

Data Analytics use in Public Sector

Data Analytics is becoming an increasingly important tool in the public sector, allowing government agencies to make more informed decisions and improve services for citizens. Data analytics has helped public sector organizations to identify areas of inefficiency and optimize their operations, as well as to monitor and track the effectiveness of their policies and programs.

City of Boston

The City of Boston uses Data Analytics "Street Bump" app. The app uses the accelerometer in smartphones to detect potholes and other road hazards, and then sends the data back to the city's transportation department. By analyzing this data, the city was able to identify problem areas and prioritize repairs, improving the efficiency of its road maintenance program.

Another example is the use of data analytics by the City of Boston to improve its management of streetlights. The city's Streetlight Management System uses data from sensors on streetlights to monitor energy usage, detect outages and malfunctions, and schedule maintenance. This has helped the city to reduce its energy costs and improve the reliability of its streetlights.

State of Indiana

The State of Indiana uses data analytics to detect and prevent fraud in the state's welfare program. The state's Family and Social Services Administration (FSSA) used data analytics to identify potential fraud cases by analyzing data on things like benefit usage patterns and recipient demographics. This helped the FSSA to investigate and prevent fraudulent activity, saving the state millions of dollars per year.


New York City Police Department (NYPD) uses data analytics to improve policing efforts through the use of predictive policing techniques. By analyzing crime data, the NYPD was able to identify areas of the city with high crime rates and deploy officers to those areas more effectively, resulting in a reduction in overall crime rates.

City of Chicago

The city of Chicago has implemented a data analytics system to identify the areas of the city with the highest risk of lead exposure, to target resources, and mitigate lead poisoning risk, this system also allows the city to track and monitor the progress of the program and adjust it accordingly.


Los Angeles Police Department (LAPD) uses predictive analytics to combat crime. The LAPD started using predictive analytics in 2011, through a program called the Predictive Policing Program.

The program uses data from past crimes and other relevant data sources to predict where crimes are likely to occur in the future. This information is then used to deploy police resources more effectively in high-risk areas. The program has been credited with reducing crime in the city, specifically in areas where it was deployed.