saint louis police department bi implementation proposal ben shailesh spencer will
Post on 18-Dec-2015
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•Why provide BI solutions for STLPD?o To help prevent and solve crimes
• Provide solutions to…o Store and manage dataoAnalyze datao Present data (dashboards)
• Then, they can act on that dataoHelp make more effective decisions and
save resources, where possible
Overview
• Number of Patrolmen per Police District -fluctuates as crime increases in any one of the 9 districts.• Patrol Routes within each Police District• General Placement of Police Officers
within each district.• Increase funds Allocation based on
districts with the most crime.• Increase funds for youth group efforts
to fight drug and gang activity
Decisions Supported By BI
• Types of crime per area• Crime by Gang or Non Gang affiliation,
if gang affiliated which gain committed crime• Demographics about individual crime
perpetrators and the victims• 911 call/dispatching data• Linking FBI data to local crime data for
more accurate predictions• Social networking data• Police patrols and arrests• Weather forecasting
Suggested Data to be Maintained
• Crime patterns/trends• Location of crimes• Predictive analysis for proactive
policing, costs, staffing, crime predictions• Equipment/training costs per unit
and the projected reduction in crime for the patrol area gained by this
Kinds of Analytics to Provide
• Patrol Dashboard
• EIS Dashboard for Chief of Police or other police department executive decision makers
• Same system with different login in access depending on the individual accessing the system
Dashboards
• Hotspot Map• Drill Down Capability for detailed info• On Hover over –
oNeighborhood info appears
• Real Time Updating of map data
Patrol Dashboard
• St. Louis Police Department under fiscal pressure due to rising pension costs• Operating budget decreased by $10
million between 2012 and 2013• According to Program Budget 650-02
(Chief of Police division, which includes IT) the budget for FY2013 was $12.5m, up from $10.6 in FY2012
Cost Considerations
Based on these numbers, we set an upfront budget of $60k, with an annual budget of $10k for enhancements/maintenance- 80 hours * $100/hr -> research- 150 hours * $100/hr -> data mining- 200 hours * $100/hr -> programming- $5,000 -> hosting/equipment- $12,000 -> reserve for add'l costs
Cost Considerations (cont'd)
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