MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

19
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

description

MA DGS 2015 Presentation - Big Data and Meaningful Analytics by Kay Meyer and Neal Fishman

Transcript of MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

Page 1: 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

Page 2: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 3: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 4: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 5: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

OFFENDER SUMMARY SCREEN

OFFENDER WATCHLIST AND ALERTS

Page 6: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 7: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

Hybrid Detection

Engine Predictive

Models

Anomaly Detection

Business Rules

Database Searches Text

Mining

Social Network Analysis

FRAUD ANALYSIS

FRAUD ALERTS

Page 8: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

ALERT DETAILS

RELATIONSHIP ANALYSIS

Page 9: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

•  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.”

Page 10: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

The Anatomy of Analytics

Nervous System

Digestive System

Muscular System

Circulatory System

Respiratory System

Skeletal System

Page 11: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 12: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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.

Page 13: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 14: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

Collection

Validation

Filtration

Aggregation

Analytics

Dissemination U

sefu

lnes

s

Rel

evan

cy

Juvenile Justice

Page 15: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

SOCIAL SERVICES

SASHA DOE 22 YORKSHIRE TERRACE APT. 15B SOCIAL SERVICES

ALEXANDER DOE 22 YORKSHIRE TERRACE APT. 5F

Page 16: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

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

Page 17: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

familyinequality.wordpress.com/

Page 18: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman
Page 19: MA DGS 2015 Presentation - Big Data and Meaningful Analytics - Kay Meyer Neal Fishman

•  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