Post on 21-Apr-2017
What is data-driven government for public safety? SlideShare brought to you by IBM
Data-driven government: 1. Integrates the mountains of data that every agency and department in government already have. 2. Extracts intelligence from the data using advanced analytics. 3. Shares insights & coordinates actions across jurisdictional boundaries—to stop threats and minimize damages.
Integrating Data: Aggregate and organize all data from its silos, adding legacy data and new data—like video feeds, sensor data and 911 call records.
Extracting Intelligence: Once this data is organized, you can apply various types of analytic tools and extract different kinds of insight from it.
Descriptive Analytics: Tell you “What is” and “Why”, Predictive Analytics: Tell you “What if”, Prescriptive Analytics: Tell you “What to do”, Geospatial Analytics: Tell you “How it fits together”
Sharing & Coordinating: With a cloud implementation, powerful analytics and region-wide synchronization are within reach—without large, upfront costs.
Crime dropped 28% in Memphis, Tennessee. Crime is at 60-year lows in Mesa, Arizona. 3X increase in police officer efficiency in Adams County, Colorado. Can predict landslides & move citizens to safety in Rio de Janeiro, Brazil.
There is a ton of valuable insight hidden in the flood of data we generate every day. Use this data to enable more accurate situational awareness and cooperation with advanced analytic & collaboration tools.