Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation.
Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform.
Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force.
In this webinar, we'll cover:
The technology needs of an intelligent police force.
How a Global Search improves an officer's interaction with existing data.
Featuring
-Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks
-Michael Cizmar, Managing Director, MC+A
-Ian Williams, Manager of Analytics & Innovation, Toronto Police Service
2. 2
Today’s Speakers
S I M O N TAY L O R
S V P W O R L D W I D E C H A N N E L S &
A L L I A N C E S
M I C H A E L C I Z M A R
F O U N D E R & M A N A G I N G P A R T N E R
I A N W I L L I A M S
M A N A G E R O F A N A L Y T I C S &
I N N O V A T I O N
3. 3
Agenda
T H E N E E D F O R I N S I G H T S
1 . U N I F I E D I N C I D E N T R E P O R T I N G - A C T I O N A B L E I N S I G H T S
2 . O F F I C E 3 6 0 – I N S I G H T S F O R W E L L N E S S A N D I N T E R V E N T I O N
3 . C O M M U N I T Y I N T E L L I G E N C E – P R O A C T I V E AWA R E N E S S
Q & A
4. 4
68%
Of LEAs have or are
planning to implement
unified information
platforms
Research on the Impact of Technology on Policing Strategy in 21st Century – DOJ - 2017
5. 5
I N F O R M AT I O N
M O D E L
Any format, any
platform, any source
Officer
Generated
Policing
Systems
Application
Generated
Index Search Intent BuildApp
RULE
ENTITY
ML
NLP
BOOST
SIGNAL
F U S I O N P L AT F O R M
FUSION
POI 360
FUSION
Crime Search
IntelligentPolicing
FUSION
Community
Insight
P O L I C I N G E F F I C I E N C Y S O LU T I O N S
6. 6
Unified Incident
Reporting
• Legacy Data Insight
• Unified KM
• NIBRS Compliance
POI 360
• Unified View
• Relationships
• Indicators &
Intervention
Social &
Community
Support
• Social Data Integration
• Proactive Awareness
• Operational
Effectiveness
Unified Incident
Reporting
• Legacy Data Insight
• Unified KM
• NIBRS Compliance
POI 360
• Unified View
• Relationships
• Indicators & Intervention
Social & Community
Support
• Social Data Integration
• Proactive Awareness
• Operational Effectiveness
Operational Insight
7. 7
MA PPING THE PATH
O P E R AT I O N A L I N S I G H T S
I S A P R O C E S S
Organizational Maturity
ProcessMaturity
0
No Awareness
Multiple Silos of
Information
1
Unified
Platform
Unified Index
Platform
2
Insights in
Workflow
Search & Insight
in Officer
Workflow
3
Situational
Awareness
Pushing Insights
to Officer in field
4
Knowledge
Assist
Investigative
Assistance
through ML
9. 99
JANUARY 2021
COMPLIANCE
the U C R ( U nified
C r ime R epor ting)
Pr ogr am is r etir ing
the SR S ( Summar y
R epor ting Sys tem –
Monthly) and will
tr ans ition to a
N IBR S - only data
c ollec tion by
J anuar y 1, 2021
National Incident-Based Reporting System
(NIBRS) is an incident-based reporting
system used by law enforcement agencies in
the United States for collecting and reporting
data on crimes. Local, state and federal
agencies generate NIBRS data from their
records management systems.
10. 10
Connecting the Policing to Insights
Routine, Predictable, Uni-channel, Static Database,
Defined Process, Functional Knowledge & Databases
BEFORE
Multisource, Multi DB, Multiformat, Internal /
External, Interrelated, Distributed
NOW
11. Data Scientist Driven Activity Operational Analytics
Meet the “Last Mile Problem”
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
Problems with Getting to Policing Data
12. Data Scientist Driven The Last Mile Problem
Reduced Time to Value
Quantifiable & Faster ROI
Search,Discovery&
OperationalAI
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
❶ ❷ ❸ ❹
Direct Alignment with Business Needs
Moving towards an Insight Driven View of Policing Data
17. 17
Integrating Social
I N F O R M T H E
C O M M U N I T Y
G A I N P U B L I C A S S I S TA N C E
T R A N S PA R E N C Y F O R
I M P R O V E D T R U S T
I D E N T I F Y M I S S I N G
P E R S O N S
P R O A C T I C E
I N T E L L I G E N C E
G AT H E R I N G
C R E AT E S O C I A L T O P I C S &
F O L L O W I N G
96.4% of law enforcement agencies use social media in one capacity or another
18. 1818
A N E X A M P L E O F U N I F I E D O F F E N D E R P E R S P E C T I V E
“Insight Driven Policing Portal”
21. 21
30%
By 2023, 30% of law enforcement
& PS will leverage [insight] systems
for personnel + organizational
effectiveness
Implement an Early Intervention System to Improve
Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020
22. 22
Key Challenges
Data Related to Officer Activities is Stored in
Decentralized Data Sources
Officer Related Analytics are Focused on Incident rather
than the personnel involved preventing insight
Decisions related to officer wellness and accountability
have limited datasets and lagging indicators
Trust al all levels between politicians, the public
officers and leaderships is needed to improve wellness
and officer training
Implement an Early Intervention System to Improve
Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020
23. 23
Being an Officer is Challenging
Implement an Early Intervention System to Improve
Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020
Officer
Support
Employee
Retention
Professional
Development
Accountability
Healthcare
Cost
Personnel
Well-Being
24. 24
I M P R O V E S V I S I B I L I T Y & C O N N E C T I V I T Y
A C R O S S D ATA S O U R C E S
B R I N G E N H A N C E D I N S I G H T S T O
I N V E S T I G AT I O N S
I M P R O V E S A W A R E N E S S
Key Takeaways
Intelligent Policing
SCRIPT:
At Lucidworks, we know that these are very complex challenges, because we began working on them 12 years ago.
We began with a deep understanding of search and Apache Solr, and we wrote code to ingest data generated by systems, humans and applications.
We’ve developed advanced functionality for indexing, clustering, classification, faceting, filtering, relevancy, ranking, analytics, visualization, natural language processing, ranking and boosting results.
We’ve bundled it all into a Digital Workplace solution available with Lucidworks Fusion.
Because we’ve done the work and become the experts at delivering the solution in the world’s largest organizations (including one third of the US Fortune 100), you can begin using our platform without diverting time, attention and money away from your core business.
Focus on your business, your customers and your employees instead.
REFERENCES:
Indexing Data: https://doc.lucidworks.com/fusion/2.1/Indexing-Data.html
Faceting: https://doc.lucidworks.com/fusion/2.1/Search/Faceting.html
Collaborative Filtering: https://doc.lucidworks.com/fusion/2.1/Recommendations_and_Boosting/Collaborative-Filtering.html
Relevancy: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/relevance.html
Ranking: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/learning-to-rank.html
Analytics: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/analytics.html
Visualization: https://doc.lucidworks.com/fusion-server/4.1/system-administration/dashboards/display-panels.html