wi dgs 15 presentation - analytics - turning data into knowledge - carrion and barkow

7/23/2019 WI DGS 15 Presentation - Analytics - Turning Data Into Knowledge - Carrion and Barkow

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Profiting from Business IntelligenceThe Predictive Approach

Milwaukee County Sheriffs Office

Captain Brian [email protected] Enforcement Analytics Division

Milwaukee County Sheriffs OfficeMilwaukee, Wisconsin

Andrew [email protected] Safety Business AnalystInformation Management ServicesMilwaukee County
mailto:[email protected]:[email protected]:[email protected]:[email protected]


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Before BI

Inundated with data in differentsystems

Silos of data made it cumbersome,labor-intensive, and time-consuming to get information

Reports had to be created for every

request, and by the time the reportswere created, the data was old


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Eliminating Data Silos

PatrolServices

CourtServices RMS

Jails CADBudget/Finance

SchedulingInvestigative

Services

Inter-agency

Intra-agency


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A More Proactive Approach

Accurate, Timely and TargetedData is the key for making gooddecisions at each point in thechain of command

Users must be able to effectivelyaccess data across multiplesystems, analyze it, and deliveractionable intelligence


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Allows agencies to increase service,and effectiveness of police work whiledealing with budget cuts, officer

safety, and demands of publicoversight

The challenge is to collect and deliver

information quickly and efficiently tothose who need it, in a format theycan use to make actionable decisions


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The solution should deliver real-time, or near real-time,

information in a flexibleenvironment where differentusers can view it in a way that

helps them effectively performtheir jobs


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Visualize data using the

four cri tical elementsfor smarter decisions:

Data integrityPerformance managementBusiness intelligence

Advanced analytics.


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Profiting from your most important

business asset

Thomas C. Redman author of Data Driven

Migration to Intelligence-Led operations Proactive rather than reactive

Visualization of Incidents, Patterns, andTrends.

Accountability of resources and assets

Evidence based tactics and strategies

Interagency Data and Intelligence sharing

Best Practices


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The Data-driven Approach

Data Integration

Interrogation and Cleansing

Real Time Reporting

One-touch Data Entry


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Victim Offender

Opportunity

Crime

Adding The Predictive Approach

Gender, Age,Frequency inarea, Alone,Routine

Spatial & TemporalTime of Day, Day of Week,Geography

CriminalIntelligence,Open Source,Prior Arrests,Court Data


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Victim

OpportunityOffender


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Return on Investment

ImprovedData

Models

InformedDecisionMaking

IncreasedProductivityand

Efficiencies

Cost Savings$$$$$$$


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Case Study Data Preparation

200 hours * $48.00 (salary/benefits) = $9,600 * 12 months = $115,200

14 Divisions * $115,200 =$1,612,800

PaperTemplates

Typed into Excel Re-Typed and/orLinked into Excel

Hand Written

Data CollectionTemplates

Data

Aggregation

Re-Typed and/orLinked into Excel

Templates

COMPSTAT

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Case Study Motor Vehicle Thefts


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Victim Profile

Female

Over 55 years old Alone

Purse Stolen

Temporal Profile

Wednesdayand Fridays

8am-10am

Occurredwithin 60minutes ofarrival

Spatial Profile

SimilarDesign

Furthest rowfrom mainbuilding


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Case Study Big Bang Summerfest

Using Criminal Justice and Open Source Intelligence to Improve theIdentification of Probable Offenders

Partner with the Milwaukee Police Department

Prior

Incidents

Prior Arrests

OpenSource

ProbableOffender List

Through relational data migration, a

probable offender list was generatedidentifying individuals who may be anoffender based on current intelligenceand prior incidents.

Benefits include:

Proactive approach Knock & TalkCost savingsOverall improved efficiency andeffectiveness of government servicesthrough crime prevention.


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Case Study Winter Weather


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Increased Productivity Automated Reporting Processes Performance-based outcomes

Efficiency and Agil ity Dynamically change work-flow (tactics and

strategies) Enables cross-sectional view (data migration

and relational building)

Reduce Decision-Making Cycles Quickly recognize important trends Decisions based on current and credible

information Provides actionable information You cant manage what you cant control


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Questions?

Brian Barkow, Captain

Milwaukee County Sheriffs Office

Law Enforcement Analytics Division

Analyze Data

Review Findings

Mobilize Resources

EvaluatePerformance

Document Results

8/1/2011

wi dgs 15 presentation - analytics - turning data into knowledge - carrion and barkow

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