1. Group A: Dan Diecker, Uzair Bhatti, Puji Bandi, Latoya Lewis

2. Objective The motivation behind this project is to come up with effective data management to help curb violent crime in the city of St. Louis. Demonstrating Data sources used Data maintained Use case examples for Management, Police Department, and Patrol Officers Finally overview of the BI system’s added value Scope of Project

3. Users: St. Louis Police Department Captains and Managers Lieutenants and Detectives Patrol Officers Value provided: We hope that this project will support the decision making process of the St. Louis police department on their mission to curb homicides in St. Louis city. Scope of Project

4. Examples of the support for decision making include: How to strategically place their man power Where to deploy patrol, mounted, or bike officers Patrolling frequencies (differs according to the area) Determine trends in criminal activity; likelihood of time and location Increased use of social media data to locate crime hot spots Track unfolding events in real-time; be informed of large, disruptive crowds or planned gatherings that could turn violent Scope of Project

5. U.S. Census Data American Community Survey Decennial Census Twitter & Social Media Historical Crime Data FBI Crime Statistics STLPD Data Data variables being maintained Mean Household income Education level Home Vacancy rates rented / owned Unemployment rate Data aggregated by district to neighborhood Data Sources

6. Historical Crime Data Data is entered as calls come in Tracks location, crime, and time Can flag similar crimes, e.g., vehicle or weapon used Census Data Loaded as it is released to build a demographic model of the neighborhood Twitter & Social Media Monitored Real-time for Keywords Mines text for location, can display potential trouble spots before any 911 calls are made Maintaining Data

7. System Structure System can be hosted externally or maintained in- house Based on STLPD requirements, hardware can be cloud-sourced or maintained in-house

8. Decision-makers can view historical trends in crime for all of St. Louis High-level summary Can view time-specific events; festivals, parades, etc. Can drill-down and view current resources assigned to specific neighborhoods Use Case: Management Petty Larceny Complaints – Week Ending 04/27/2013

9. Summary of a small geographic area – useful in determining local hot spots and trends Past crime trends Can view crimes that are similar Can see where patrol officers are assigned Use Case: Neighborhood Office Departure from Mean: Complaints a Year Ago +10% 0% -10% Displaying: Homicides Filter Home

10. Dashboard in Patrol Car Dashboard can display recent crimes in the area, along with a description of the suspect Can be informed of events from Social Media – can stay close to parties or gatherings before anything gets out of hand Use Case: Patrol Officer Pine Lawn 2 2 Critical Alerts Church function at Stratford Ave and Jennings Station Rd – Possible Gang Activity Potential repeat offender in area: 8 copper thefts in past week Map Details Related Map Details Related

11. Supports near real-time analysis of crime Not real-time; not all data can be maintained in real-time due to difficulty in collecting the information Predictive capabilities are near-future Can analyze weeks to a few months into the future, not years On-going maintenance and support will include a cost Support and IT Personnel Training for Users Investment in hardware (outsourced or internal) System Constraints

12. Overview As BI consultants to the City of St. Louis Police Department we conclude our presentation by discussing the following. In an effort to better facilitate the Police Department’s decision making processes, we proposed a BI system using available and easily-maintained data The BI dashboard developed by Group A has provides support to different levels of decision-makers in the STLPD The BI system provides increased responsiveness to crime trends, assists in optimizing the deployment of limited departmental resources, and supports analysis of different policing strategies Wrap-up