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

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Presentation on theme: "Law Enforcement Analytics Milwaukee County Sheriff’s Office Captain Brian Barkow Law Enforcement Analytics Division (L.E.A.D.)"— Presentation transcript:

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. Redman – author of Data Driven  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 “Best Practices”

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 $$$$$$$  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 A nalyze Data R eview Findings M obilize Resources E valuate Performance D ocument Results © 8/1/2011

9 Organizational Challenges  Budget Constraints  Limited resources; unlimited issues  Data silos or “islands” Data silos 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 Data Silos Patrol Services Court Services RMS Jails CAD Budget/ Finance Scheduling Investigative Services Inter-agency Intra-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 Copyright 2007, Information Builders. Slide 11 Paper Templates Typed into Excel Re-Typed and/or Linked into Excel Hand Written Data Collection Templates Data Aggregation Re-Typed and/or Linked into Excel Templates COMPSTAT

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

15 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 Phased Deployment Future Phase 3  Predictive Analytics  Inter Agency Information Exchange 1 S tart Future Phase 2  Ad-Hoc reporting  Triggers and Alerts  Custom Operational Reports Using wave investment planning to roll out in phases

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 ed

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

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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  Predictive Analytics  Structured Ad-Hoc reporting  Triggers and Alerts  Custom Operational Reports  Inter Agency Information Exchange

34 Questions? Brian Barkow, Captain Milwaukee County Sheriff’s Office Police Services Bureau Law Enforcement Analytics Division A nalyze Data R eview Findings M obilize Resources E valuate Performance D ocument Results © 8/1/2011


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