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GOVERNMENT ANALYTICS
LEADERSHIP FORUMSAS Canada & The Institute of Public Administration of Canada
April 26 | The Shaw Centre | Ottawa
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A Practical Guide to Analytics in Government :
How Analytics Can Make Government Work Better
Marie Lowman Principal: Government
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• Middle School Teacher
• Retired Grandfather
• Small Business Owner / Retired
• Concrete Business Owner
• Lawyer
• Analytics Co.
Council Make-up
That’s me
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• Budget / financial reports
• Traffic Impact Analysis; concert venue
• Pending Litigation
• Comprehensive Plan
• Ducks @ The Galleria
• HOT tax allocation
• Texting & Driving Ordinance
• Traffic Calming Devices
• PDD: Planned Development District
• Executive Session
Meeting Agenda
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HOW DO WE MAKE OUR BEST DECISIONS?
Stories are data with a soul analytics is the soul
• Public perception
• Gut-feel
• Developer influence
• Lack of available data
• Lack of strategic thinking
• NIMBY (not in my backyard)
• Population forecasts
• Traffic impact analysis’
• Budget forecasts
• Tax revenue projections
• Crime statistics
• Demographic data
• Economic Development / Impact
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SAS ANALYTICS
INSIGHTS
from
SOCIAL MEDIA
Tweets
from the
Philippines
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VISUAL ANALYTICS MOST COMMON PHRASES IN “HEALTH PROBLEMS”
FASTER
INSIGHTS
Elderly
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SAS ANALYTICS “WHICH SUPPLIES ARE NEEDED MOST?”
INSIGHTS
from
SOCIAL MEDIA
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NEW JERSEY OPIOID
PLATFORM
A foundation of
insight
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NEW HANOVER COUNTY
CHILD PROTECTIVE
SERVICES (CPS)
Child Well-Being
From July, 2016 through June, 2017
• 4,334 children were subjects of maltreatment
reports
• 883 children were subjects of maltreatment
investigations (abuse)
• 3,451 children were subjects of alternative
response measures (neglect)
http://fosteringcourtimprovement.org/nc/County/New_Hanover/
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NEW HANOVER COUNTY Child Protective Services
Project Goals:
• More accurate case-level risk assessments
• Improved response prioritization
• Shorter response times when it matters
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NEW HANOVER COUNTY Child Protective Services
What does the Visual Investigator offer?
• Better identification of individuals through entity
resolution
• Interactive historical views surrounding past cases and
individuals
• Risk assessment to provide guidance on repeat offenders
How is the Visual Investigator leveraged?
• New case screening / intake
• Ongoing case management (high level research ability-
timeline)
• Automated alerting when case dynamics change
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ALERTING Potential Threat Identification
Alerting methodology developed to notify Case Workers of
potential threats
• Alerts generated nightly
• Automated e-mails sent to Case Workers with links to the user interface
• Allows Case Workers to proactively take steps to protect children and make
plans for safety
Visual Investigator Generates Two Classes of Alerts
• Jail Management System (JMS) Alerts
• Two basic concepts
• Individuals recently arrested
• Individuals recently released
• Alert scores determined by individuals’ past arrest charges
• Emergency Call Alerts
• Uses 911 call data to identify individuals potentially at risk
Matches 911 call locations to individuals’ addresses
• Alerts are generated when individuals are identified by high-risk call
types
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SAN BERNARDINO COUNTY
DEPARTMENT OF
BEHAVIORAL HEALTH
Mental / Behavioral Health
BUSINESS ISSUE
• Governments invest in behavioral services with the hope of not just helping people
live productive lives, but also to avoid more expensive consequences of poor mental
health that involve law enforcement and lengthy emergency room stays. The
challenge is to ensure that the right services are offered in a cost-effective way.
SOLUTION
• San Bernardino County Dept. of Behavioral Health is using analytics to measure and
study effectiveness in an effort to help county residents get well – and lower costs.
RESULTS
• San Bernardino County is discovering underserved areas and making the cost case for
crisis centers as an alternative to costly emergency room visits or incarceration.
• The County has moved from static reports to a dashboard, staff members are eager
data consumers and asking more questions in an effort to make data-driven
decisions.
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DEVELOPING AN ENTERPRISE ANALYTICS CULTURE
Long-term success lies in these components
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THE CHALLENGES
• Numerous, complex data sources
• Many inhibitors to accessing all the data needed
• Need to protect the security and privacy of data
• Lack of data analytic skills
THE OPPORTUNITIES
• Create a culture for data sharing and use
• Establish governance and technology to protect data
• Build best practices for analytic solutions
• Ensure more accessible and user friendly tools
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Leadership
Mission
Goals & Objectives
Establish the Program Define
Business Priorities
Data
Discover
Deploy
Iteratively Build Analytic Solutions
Identify high value analytic needs
Start small,focus strategically
Identify desired outcomes
Data Management • Accurate• Reliable• Secure• Reusable• Analytic Ready
Analytic Capabilities• Re-useable• Repeatable• Refined• Efficient
Deploy Solutions• Training• Adoption• Action• Outcomes