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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  • GovLoop -- Examining the Big Data Frontier ConferenceMach 26, 2014The Mayflower HotelWashington D.C.A Presentation by theUnited StatesSocial Security AdministrationHerb StraussAssistant Deputy Commissioner for Systemsand Deputy Chief Information OfficerSocial Security Administration6401 Security BoulevardBaltimore, MD 21235
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  • GovLoop -- Examining the Big Data Frontier ConferenceMach 26, 2014The Mayflower HotelWashington D.C.A Presentation by theUnited StatesSocial Security AdministrationHerb StraussAssistant Deputy Commissioner for Systemsand Deputy Chief Information OfficerSocial Security Administration6401 Security BoulevardBaltimore, MD 21235
  • Social Insurance in the Age of Big Data

    1. 1. 3/27/2014 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 The Mayflower Hotel, Washington, D.C.
    2. 2. Key Topics 2 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
    3. 3. 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 Mission and Vision 3
    4. 4. SSA Benefits and Services ( C o r e W o 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 4  Provide Data Exchange  Verify SSNs Data Sharing  Conduct Hearings and Appeals  Validate Program Integrity Other
    5. 5. Where We Are Field Offices 1,220 Teleservice Centers 30 Disability Determination Services 54 National Hearing Centers 5 5 Hearings Offices 162 Regions 10 Foreign Offices 21
    6. 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 insurance Survivor insurance Disability insurance 6 SSA Benefits America
    7. 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). 7 SSA Connects with America WE COLLECT, ANALYZE AND RETAIN AN ENORMOUS AMOUNT OF DATA THROUGH THESE TRANSACTIONS
    8. 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 8
    9. 9. Big Data?…Analytics? Big Data Analytics The use of data and related insights developed through applied disciplines (e.g. statistical, contextual, quantit ative, predictive, cognitive and other models) to drive fact-based planning, decisions, execution , management, measurement and learning. Analytics may be descriptive, predictive or prescriptive. 9 High-volume, high- velocity and high-variety information assets that demand cost- effective, innovative forms of information processing for enhanced insight and decision making.
    10. 10. Volume, Variety, Vel ocity, Veracity 10 Data Is Growing Exponentially Along With Demand to Use It Transactional Data Documents Video Text Audio Images IT/OT
    11. 11. 11 ENTERPRISE ELEMENTS Blended IT Workforce: 4,000 Databases: IDMS, DB2, Oracle Data Stores: 24 Petabytes Software Applications: 700 BI Architecture/Big Data Lab Computing 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 Enterprise “Big Data is in our DNA”
    12. 12. BIG DATA CREATES VALUE IN SEVERAL WAYS 12 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
    13. 13. CHARTING SSA’S PATH IN BIG DATA BECOMING A MORE DATA-DRIVEN ENTERPRISE Office of the Deputy Commissioner for Systems and Chief Information Officer 13
    14. 14. Data-driven Organization 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. 14  Map the Business Processes  Gather Actionable Data  Analyze and Visualize Data  Experiment With Analyses  Improve Heuristics  Review and Act on Results
    15. 15. 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.
    16. 16. 16 SSA’s Path to Big Data Transformation Source: MIT Sloan Management Review. Analytics the Widening Divide Fall, 2011
    17. 17. 17 Our Challenge: Balance Modernization & Transformation
    18. 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. 18 Closing Comments
    19. 19. 3/27/2014 19 THANK YOU FOR YOUR ATTENTION YOUR QUESTIONS PLEASE 19 SOCIAL SECURITY ADMINISTRATION Office of the Deputy Commissioner for Systems and CIO 6401 Security Boulevard Baltimore, MD 21235 www.SSA.Gov

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