1. Law Enforcement Analytics Milwaukee County Sheriff’s Office
Captain Brian Barkow
Law Enforcement Analytics Division (L.E.A.D.)
Milwaukee County Sheriff’s Office
Milwaukee, Wisconsin

2. Captain Brian M. Barkow Biography
Captain Brian Barkow was appointed to the Milwaukee County Sheriff's Office in September of He was promoted to the rank of Sergeant in August of In March of 2009, Sheriff David A. Clarke Jr., promoted him to the rank of Captain.
Currently, Captain Barkow commands the Law Enforcement Analytics Division (L.E.A.D.), which provides tactical, operational, and strategic analysis for the agency. L.E.A.D., a highly innovative division, utilizes the nationally recognized COMPSTAT model in analyzing data, crime trends, and tracking resource and performance accountability in all Sheriff’s Office operations by utilizing state of the art business intelligence software.
In March 2009, Captain Barkow was assigned to the Criminal Investigations Division where he oversaw the operations of the General Investigations Unit, Special Investigations Unit, Background Investigations Unit, Drug Enforcement Unit, and all agency Task Force assignments.
In 2004, Captain Barkow earned a Bachelor of Science degree in Computer Engineering from the University of Wisconsin-Milwaukee. Captain Barkow is a 2008 graduate from the Future Milwaukee Leadership Training program at Marquette University. Captain Barkow is a recent graduate of the National Institute of Justice Law Enforcement Technology Institute. Captain Barkow serves on several committees in Milwaukee County that promote the technical advancement of the criminal justice system and is a current member of the Professional Crime Analysts committee at the University of Wisconsin – Milwaukee.

3. Speaking Points Why Analytics??
Current Implementation: A.R.M.E.D. powered by Information Builders’ Law Enforcement Analytics System - CompStat and Business Intelligence Dashboards
Future Initiatives

4. “Profiting from your most important business asset” – Thomas C
“Profiting from your most important business asset” – Thomas C. Redman – author of Data Driven
“Best Practices”
Migration to “Intelligence-Led” policing
Proactive rather than reactive
Visualization of Incidents, Patterns, and Trends.
Management of Resources
Evidence based tactics and strategies
Interagency Data and Intelligence sharing

5. Increased Productivity
Automate CompStat Reporting Process
Command Staff resources focus on analyzing operations
Efficiency and Agility
Information Alerts and Triggers
Enable enterprise wide information access
Reduce Decision-Making Cycles
Quickly recognize important trends
Decisions based on current and credible information
Provide actionable information

6. Return on Investment-Case Studies
Improved Data Models
Informed Decision Making
Increased Productivity and Efficiencies
Cost Savings $$$$$$$
Return on Investment-Case Studies
Data preparation
Civil Process Mapping
Officer Assaults

7. Speaking Points Why Analytics??
Current Implementation: A.R.M.E.D. powered by Information Builders’ Law Enforcement Analytics System - CompStat and Business Intelligence Dashboards
Future Initiatives

8. Analyze Data Review Findings Mobilize Resources Evaluate Performance
Document Results
© 8/1/2011

9. Organizational Challenges
Budget Constraints
Limited resources; unlimited issues
Data silos or “islands”
Inter-agency and intra-agency
Disparate Data Sources
Hard and Soft Data
Home Grown and Ad Hoc
Operational Inefficiencies
Outmoded and Redundant Operations/Systems
Data Integrity and Governance

10. Investigative Services
Data Silos
Patrol Services
Jails
Court Services
CAD
RMS
Scheduling
Budget/
Finance
Investigative Services
Intra-agency
Inter-agency

11. Milwaukee County Sheriff’s Office (MCSO) Data Sources
Hard Data
Data that is available in an MCSO Data Base
Soft Data
Data not available in an MSCO data Base
Typically tracked on paper
Paper Templates
Data Collection Templates
Data Aggregation
COMPSTAT
Re-Typed and/or Linked into Excel
Typed into Excel
Re-Typed and/or Linked into Excel Templates
Hand Written
Copyright 2007, Information Builders. Slide 11

12. Disparate ‘Hard’ Data Sources
“CJIS” Criminal Information Application
Phoenix Records Management System
Positron Computer Aided Dispatch
Airport Dispatch (Access Data Base)
Badger Tracks
Ceridian Payroll
Transit Data
BRASS
Jail Activity Tracker
Staff Management
Excel Spreadsheets
A variety of Division controlled SQL and Access structures

13. Home Grown “Soft” Data Sources
Daily Activity Sheets
Log Sheets
Shift Summaries
Risk Management
Total Personnel Time Analysis
Complaints (IA)
Overtime Analysis
Etc.

14. Organizational Approach
Data
Cleansing and Interrogation
Data Systems
Data-mart
Reporting
Dynamic Data Entry App
Data Entry
Real time reporting
Simplify
Standardize
Centralize

15. Using wave investment planning to roll out in phases
Phased Deployment
Start 3 2 1
Using wave investment planning to roll out in phases 1
Current Implementation
CompStat Reporting System
Interactive Mapping of Incidents, Calls for Service and Civil Process activities
Dashboard with KPI’s & drill-downs
Data Analysis and Operational Dashboard 2
Future Phase 2
Ad-Hoc reporting
Triggers and Alerts
Custom Operational Reports 3
Future Phase 3
Predictive Analytics
Inter Agency Information Exchange

16. Law Enforcement Analytics
Centralized reporting & performance management solution with CompStat based reports
Key Performance Indicators (KPI) reports
Management and Operational Dashboards with drill-downs
Integration for data connectivity
Interactive Mapping Capabilities
Data Mining
Enterprise Information Search
Information exchange with other agencies and jurisdictions

17. MCSO CompStat Dashboard

18. All CompStat Reports Have Drill Downs into WebFOCUS Active Reports

19. Active Reports Generate Graphs and Reports Which Can Be Emailed

20. Performance Indicators Report

21. Performance Indicators - Pay Types Showing Active Report With Pie Chart Reports output into HTML, Excel, PDF or Active Report

22. Overtime and Off Time Reports With graphic indicators

23. Risk Management Report

24. Incident Calls For Service Interactive Mapping

25. Drill Down From Map to Incident Report in RMS

26. Dynamic Data Entry Application Creating forms online

27. Dynamic Data Entry Application Creating forms online

30. Access to Phoenix from the Dashboard

31. Data Analysis Incidents from the RMS system for the last 7 days

32. Speaking Points Why Analytics??
Current Implementation: A.R.M.E.D. powered by Information Builders’ Law Enforcement Analytics System - CompStat and Business Intelligence Dashboards
Future Initiatives

33. Future Initiatives Predictive Analytics Structured Ad-Hoc reporting
Triggers and Alerts
Custom Operational Reports
Inter Agency Information Exchange

34. Questions? Analyze Data Review Findings Mobilize Resources
Evaluate Performance
Document Results
© 8/1/2011
Brian Barkow, Captain
Milwaukee County Sheriff’s Office
Police Services Bureau
Law Enforcement Analytics Division