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6/7/22 1 Social Security Administration Herb Strauss Assistant Deputy Commissioner for Systems and Deputy CIO Social Insurance in the Age of Big Data March 26, 2014

Social Insurance in the Age of Big Data

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About Your SSA – What We Do In Public Service Social Insurance – In an Age of Big Data Charting SSA’s Path in Big Data – Becoming a More Data-driven Enterprise

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Page 1: Social Insurance in the Age of Big Data

3/25/14 1

Social Security

Administration

Herb StraussAssistant Deputy Commissionerfor Systems and Deputy CIO

Social Insurance in the Age of Big DataMarch 26, 2014

The Mayflower Hotel, Washington, D.C.

Page 2: Social Insurance in the Age of Big Data

Key Topics

1. About Your SSA – What We Do In Public Service

2. Social Insurance – In an Age of Big Data

3. Charting SSA’s Path in Big Data – Becoming a More Data-driven Enterprise

Page 3: Social Insurance in the Age of Big Data

Deliver Social Security services that meet the changing needs of the public

MISSION

Provide the highest standard of considerate and thoughtful service for generations to come

VISION

SSA Miss ion and Vis ion

3

Page 4: Social Insurance in the Age of Big Data

SSA Benefi ts and Serv ices( C o r e Wo r k l o a d s )

Issue Social Security Numbers and Cards

Verify Eligibility

Accept, Verify, Process and Correct Earnings Information

Accept Application for Benefits Verify Identity Determine Entitlement Determine Benefit Pay Beneficiary Verify Continued Entitlement

Accept Application for Benefit Payment

Verify Identity Determine Non-Medical Eligibility Determine Medical Eligibility Determine Payment Pay Beneficiary/Recipient

(Under Disability/SSI Program) Verify Continued Eligibility

Accept Application for Insurance Coverage

Verify Identity Determine Eligibility Determine Low Income Subsidy

Eligibility Collect Insurance Premium

Accept Application for Payment Verify Identity Determine Eligibility Determine Payment Pay Recipient Verify Continued Eligibility

Supplemental Security Income

EarningsEnumeration

Disability

Medicare

Retirement and Survivors

Provide Data Exchange Verify SSNs

Data Sharing

Conduct Hearings and Appeals Validate Program Integrity

Other

Page 5: Social Insurance in the Age of Big Data

5

NewYork

PHILADELPHIAV

VIIVIII

VI

IV

X

KANSASCITY

DENVER

CO

NEIA

KS

HEADQUARTERSBALTIMORE

LA

AR

OK

UT

SEATTLE

AZ

TX

NM

DALLAS

ATLANTA

III

III

OR

ID

MT

WY

ND

SD

WA

IXSANFRANCISCO

CA

NV

HAWAII

AK

PUERTO RICO

GUAM

AMERICANSAMOA

BOSTON

CHICAGO

MO

IN

TN

AL GA

SC

FL

NC

VA

MD DE

CT

MA RI

ME

NEVTNY

PA

WV

MS

KY

MI

OH

IL

WI

MN

NJ

Where We Are

Field Offices

1,220Teleservice Centers

30Disability Determination Services

54NationalHearingCenters

5

Hearings Offices

162Regions

10

ForeignOffices

21

Page 6: Social Insurance in the Age of Big Data

6

About 1 in 4 households receives income form Social Security: 36.9 million retired

workers 8.8 million disabled

workers 4.3 million widows

and widowers 2.4 million spouses 1.0 million adults

disabled since childhood

3.4 million children

Last year, SSA paid over $850 billion to almost 63 million people for Social Security benefits, in one of three categories:

Retirement insuranceSurvivor insuranceDisability insurance

SSA Benefits America

Page 7: Social Insurance in the Age of Big Data

7

SSA handled over 53 million transactions on our National 800 Number Network;

Received over 68 million calls to field offices nationwide;

Served about 43 million visitors in over 1,200 field offices nationwide;

Completed over 8 million claims for benefits and 794,000 hearing dispositions; and

Completed over 429,000 full medical continuing disability reviews (CDRs).

SSA Connects with America

WE COLLECT, ANALYZE AND RETAIN AN ENORMOUS AMOUNT OF DATA THROUGH THESE TRANSACTIONS

Page 8: Social Insurance in the Age of Big Data

8

SOCIAL INSURANCE IN THE AGE OF

BIG DATA VOLUME, VARIETY, VELOCITY AND VERACITY

Office of the Deputy Commissioner for Systems and Chief Information Officer

Page 9: Social Insurance in the Age of Big Data

9

Big Data?…Analytics?

Big Data AnalyticsThe use of data and related insights developed through applied disciplines (e.g. statistical, contextual, quantitative, predictive, cognitive and other models) to drive fact-based planning, decisions, execution, management, measurement and learning. Analytics may be descriptive, predictive or prescriptive.

High-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.

Page 10: Social Insurance in the Age of Big Data

10

Volume, Variety, Velocity, Veracity

Healthcare and Life Sciences

Demography

Actuarial Sciences

Economics

Public Policy

Human Geography

Law

Finance

SociologyEnviro

nment

Internet

Communications

Aging

Data Is GrowingExponentially

Along With Demand to Use It

Transactional Data

Documents

Video

Text

Audio

Images

IT/OT

Page 11: Social Insurance in the Age of Big Data

11

ENTERPRISE ELEMENTSBlended IT Workforce: 4,000

Databases: IDMS, DB2, OracleData Stores: 24 PetabytesSoftware Applications: 700BI Architecture/Big Data LabComputing Platforms:• Mainframe Servers• Mid-range Servers• Commodity x86 Servers

Network – SSANet• Eithernet LANs• MPLS WANs IT Security- 2 24/7 SOCs Continuous Monitoring

The SSA Enterpr ise “Big Data is in our DNA”

DCPS

Page 12: Social Insurance in the Age of Big Data

12

BIG DATA CREATES VALUE IN SEVERAL WAYS

More easily accessible to relevant stakeholders in a timely manner -- fosters transparency

Enables experimentation

Create highly specific segmentations to customize actions

Improve decision making, minimize risks, and unearth valuable insights

Innovate new business models and services

Detect and predict fraud and other crimes

Page 13: Social Insurance in the Age of Big Data

13

CHARTING SSA’S PATH IN BIG DATABECOMING A MORE DATA-DRIVEN ENTERPRISE

Office of the Deputy Commissioner for Systems and Chief Information Officer

Page 14: Social Insurance in the Age of Big Data

14

Data-dr ivenOrganizat ion

Manage the Data Understand the Data Act on the Data

Information Management Analytics Skills and Tools Data-driven Culture

Mature information foundation.

Develop analytic skills as a core discipline.

Fact-driven leadership

Standardize data management practices.

Enabled by a robust set of tools and solutions.

Use Analytics as a strategic asset.

Make insights accessible and available.

Develop action-oriented insights.

Data-driven insights guide strategy and operations.

Map the Business Processes Gather Actionable Data Analyze and Visualize Data Experiment With Analyses Improve Heuristics Review and Act on Results

Page 15: Social Insurance in the Age of Big Data

15

Enterprise Information: Adopt A Management Framework

Source: Gartner 2014

Information management competency: The use of methodologies, techniques and

technologies that address data architecture, extraction, transformation, movement,

storage, integration and governance of enterprise information and master data

management.

Page 16: Social Insurance in the Age of Big Data

16

SSA’s Path to Big Data Transformation

Source: MIT Sloan Management Review. Analytics the Widening Divide Fall, 2011

Page 17: Social Insurance in the Age of Big Data

17

Our Challenge: BalanceModernization & Transformation

Page 18: Social Insurance in the Age of Big Data

18

• Big Data and Business Analytics offer SSA new and enhanced capabilities across our programmatic and administrative missions.

• Big Data and Business Analytics are transformative – business-driven -- change management is critical.

• New management methods and thinking are as vital as tools, techniques and technology investments are in realizing successful outcomes.

• Recent experiments validate further investment.

• In-house knowledge and experience is nascent; industry and academe knowhow is vital.

Closing Comments

Page 19: Social Insurance in the Age of Big Data

3/25/14 1919

THANK YOU FOR YOUR ATTENTION

YOUR QUESTIONS PLEASE

SOCIAL SECURITY ADMINISTRATION

Office of the Deputy Commissionerfor Systems and CIO

6401 Security BoulevardBaltimore, MD 21235

www.SSA.Gov