MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman
description
Transcript of MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman
BIG DATA AND MEANINGFUL ANALYTICS
Speakers: Kay Meyer SAS Neal Fishman IBM
MASSACHUSETTS DIGITAL GOVERNMENT SUMMIT
KAY MEYER
• Principal Industry Consultant • SAS State and Local Government
• Former Director of NC Government Data Analytics Center • Over 18 years in state government solution development and implementations
• [email protected] • (919) 531-2098
7 Big Data Solutions Try to Reshape Healthcare
Governments Must Manage Analytics at the Enterprise Level, NASCIO Paper Says
PublicAgenciesUseBusinessAnalyticstoImprovePerformanceandBoostTransparency
Big Data, Analytics and a New Era of Efficiency in Government
With Big Data Comes Bigger Goals
States Use Data to Target Identity Thieves
Can Data Analytics Reduce Infant Mortality?
How Analytics Can Help Governments Crack Down on Disabled Parking Fraud
DRIVING FORCES
• Transparency and accountability
• Efficiency and effectiveness
• Reduction of fraud and compliance issues
• Improved public safety and well-being
• Improved citizen experience
• Evidence based policy decision
Data Data
Information
Knowledge
5
• Foster interagency collaboration among and between the branches of governments and their sub-units
• Establish standards to improve data sharing, quality and consistency
• Facilitate identification of technologies and tool-sets
• Build competencies to improve efficiency and effectiveness in enterprise business intelligence efforts and helps prioritize BI project implementation
HOW TO APPROACH MEANINGFUL ANALYTICS?
• Recognized the need to leverage the State’s data assets as strategic information to make better informed business decisions
• Established a statewide data integration initiative
• Created a strategic plan for data integration
• Communities of interest • Phased implementation • Common technology and toolset
CASE STUDY
BUSINESS ISSUE • Lack of criminal justice data sharing was highlighted by the murders of two NC colleges students • Disparate, siloed criminal systems inhibited timely access to comprehensive offender information
SOLUTION • Enterprise criminal justice information system that provides
• Offender search of comprehensive offender information via a single application • Offender watch list capability to alert criminal justice professionals to changes in offender status
RESULTS • CJLEADS serves more than 27,000 criminal justice professionals throughout NC including 12 State agencies, more
than 500 local agencies and 14 federal agencies • Enterprise data integration provides comprehensive profile of offenders that is timely, accurate, and reliable • Time-sensitive data can be accessed real-time via web services • System and role-based security ensures compliance with data governance requirements • Estimated time savings by using CJLEADS is more than $20 million annually
CRIMINAL JUSTICE LAW ENFORCEMENT AUTOMATED DATA SERVICES (CJLEADS)
OAK STREET, DURHAM, NC 27707
OFFENDER SEARCH
OFFENDER SUMMARY SCREEN
OFFENDER WATCHLIST AND ALERTS
OFFENDER TIMELINE
OBJECTIVES • To develop analytics to identify and prioritize alerts about potential fraud, waste or compliance issues • To provide comprehensive information to support investigation and resolution of alerts • To provide social network analysis to visually demonstrate relationships between key entities associated
with a case
CURRENT EFFORTS • Fraud project - Division of Employment Security
• Unemployment insurance employer tax compliance and fictitious employer analysis • Unemployment insurance benefit payment analysis
• Compliance project – NC Industrial Commission • Workers’ Compensation Insurance Compliance
FRAUD, RISK AND COMPLIANCE ANALYSIS
Hybrid Detection
Engine Predictive
Models
Anomaly Detection
Business Rules
Database Searches Text
Mining
Social Network Analysis
FRAUD ANALYSIS
FRAUD ALERTS
ALERT DETAILS
RELATIONSHIP ANALYSIS
• Automated fraud detection and case prioritization
• Proactive risk scoring and alerting
• Real-time analysis
• Cyber analytics
• Adult and juvenile justice reform
ACTIONABLE ANALYTICS
NEAL FISHMAN
• Program Director, Data Based Pathology • IBM Analytics – Public Sector
• Sr. Certified IT Architect – IBM • Distinguished Chief/Lead IT Architect – Open Group
• Author of several books including Viral Data in SOA and Enterprise Architecture Using the Zachman Framework
• [email protected] • (646) 457-0798
“Nowadays, of course, I won’t even get out of bed
if it’s less than a petabyte.”
The Anatomy of Analytics
Nervous System
Digestive System
Muscular System
Circulatory System
Respiratory System
Skeletal System
WHY
WHEN
HOW
WHERE
WHAT WHO
HINDSIGHT
INSIGHT
FORESIGHT
DESCRIPTIVE
PREDICTIVE
PRESCRIPTIVE COGNITIVE
GLASS
TEXT GRAPHIC
IMAGE
SENSOR
AUDIO
TEMPORAL SPATIAL
PROTAGONIST CENTRIC
INTERACTION
SITUATIONAL AWARENESS
Berkshire
Franklin
Hampshire
Hampden
Worcester
Middlesex
Essex
Suffolk
Norfolk
Bristol Plymouth
Barnstable
Dukes
Nantucket
Dukes County Note: Cities appear in all capital letters. Towns are in upper/lower case letters.
City or Town 2000 2010 % Change Aquinnah 344 311 -9.59 Chilmark 843 866 2.73 Edgartown 3,779 4,067 7.62 Gosnold 86 75 -12.79 Oak Bluffs 3,713 4,527 21.92 Tisbury 3,755 3,949 5.17 West Tisbury 2,467 2,740 11.07
sec.state.ma.us/sec/census/index.htm
Gosnold, Massachusetts From Wikipedia, the free encyclopedia
Gosnold is a town that encompasses the Elizabeth Islands in Dukes County,
Massachusetts, United States. At the 2010 census, the town population was 52,[1] the least populous town in Massachusetts.[2] Most of the residents live in the
village of Cuttyhunk, while most of the land in the town is owned by the
Forbes family.
Subject Estimate Margin of Error Percent Margin of Error
SEX and AGE
Total Population 198 +/- 77
Male 101 +/- 42 51.0 % +/- 11.7
Female 97 +/- 47 49.0 % +/- 11.7
Under 5 3 +/- 6 1.5 % +/- 3.3
5-to-9 0 +/- 127 0.0 % +/- 17.2
10-to-14 4 2.0 % +/- 2.8
15-to-19 0 0.0 % +/- 17.2
20-to-24 27 13.6 % +/- 10.5
25-to-34 11 5.6 % +/- 5.7
35-to-44 21 10.6 % +/- 8.8
45-to-54 15 7.6 % +/- 6.6
55-to-64 22 11.1 % +/- 7.1
60-to-64 26 1.1 % +/- 12.3
65-to-74 53 26.8 % +/- 16.0
75-to-84 11 5.6 % +/- 4.5
Over 85 5 2.5 % +/- 2.7
Median Age 58.8
What can be done legally
What an agency would like to do
What can be done technically
Ethical position
• Context • Consent and Choice • Reasonable • Substantiated • Owned • Fair • Considered • Access • Accountable
Collection
Validation
Filtration
Aggregation
Analytics
Dissemination U
sefu
lnes
s
Rel
evan
cy
Juvenile Justice
SOCIAL SERVICES
SASHA DOE 22 YORKSHIRE TERRACE APT. 15B SOCIAL SERVICES
ALEXANDER DOE 22 YORKSHIRE TERRACE APT. 5F
nytimes.com/2015/10/06/us/publisher-promises-revisions-after-textbook-refers-to-african-slaves-as-workers.html
[T]he Texas textbooks employ all the principles of good, strong, clear writing when talking about the “upside” of slavery. But when writing about the brutality of slavery, the writers use all the tricks of obfuscation. You can see all this at play in the following passage from a textbook, published by Houghton Mifflin Harcourt, called Texas United States History:
Some slaves reported that their masters treated them kindly. To protect their investment, some slaveholders provided adequate food and clothing for their slaves. However, severe treatment was very common. Whippings, brandings, and even worse torture were all part of American slavery.
nytimes.com/2015/10/22/opinion/how-texas-teaches-history.html
familyinequality.wordpress.com/
• Scene Size-up • Initial Assessment • Focused History and
Physical Exam • Rapid Assessment • Trauma / Medical • Focused History and
Physical Exam • Trauma / Medical • Detailed Physical
Exam • Ongoing Assessment
• Descriptive • Substantiated
• Predictive • Surmised
• Prescriptive • Actionable
• Cognitive • Interactive
THANK YOU
QUESTIONS ?
Kay Meyer [email protected] (919) 531-2098
Neal Fishman [email protected] (646) 457-0798