Group A:

Dan Diecker, Uzair Bhatti, Puji Bandi, Latoya Lewis

BI Presentation

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

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

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

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

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

System Structure

• System can be hosted

externally or

maintained in-house

• Based on STLPD

requirements,

hardware can be

cloud-sourced or

maintained in-house

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

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

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 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

MapDetail

sRelate

d

MapDetail

sRelate

d

• 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

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