1. D ATA G OVERNANCE – F RIEND OR F OE John A. Eisenhauer Chief of Data Governance, Humana Founder, Data Governance Society Big Data Innovation Summit, Boston 2014

4. P RIVACY R EGULATION  Gramm-Leach Bliley Act,  Right to Financial Privacy Act,  Fair Credit Reporting Act,  Fair and Accurate Credit Transactions Act,  Electronic Communications Privacy Act,  Children’s Online Privacy Protection Act,  Health Insurance Portability and Accountability Act

5. A RE YOU SURE ? Personally Identifiable Information (PII) Personal Credit Information (PCI) Personal Health Information (PHI)

6. T HE T OWER OF B ABEL

7. T IM B ERNERS -L EE

8. T HE E FFECT OF S TANDARDS WWW HTML W3C

9. BANG!

11. W HERE DOES B IG D ATA C OME FROM ? Enterprise business systems Government databases (i.e. data.gov) White papers Instrumentation (Factories and laboratories) Social media (i.e. Facebook and Twitter) Traditional media (TV, Newspapers, radio) Videos (YouTube, etc…) Appliances, phones and just about anywhere Airplane engines

13. T HE V’ S OF B IG D ATA Volume How much is there? Velocity How often does it change or grow? Variety How complex is it? Value Stay focused on the value.

14. T HE D ATA C ONUNDRUM Data is powerful Data is risky

15. D ATA G OVERNANCE

16. W HAT DOES DG DO FOR US ? Secures data against malicious intent Ensures regulatory compliance Aligns information to organizational needs

17. W HAT IS D ATA G OVERNANCE Data governance is the set of Principles, Policies and Processes by which an organization ensures that data is protected and aligned with its needs and objectives

18. D ATA S TRATEGY AND T RUST

19. How will we create, manage and configure enterprise platforms to support the needs of our business? Business Intelligence Master Data ManagementInformation Lifecycle MgmtData ArchitectureData Governance Information Security Records Information Mgmt Rights Management3 rd Party Data ManagementLegal Compliance Data Governance What does the Organization want to achieve? What markets will we enter? What products will we create? What makes us unique? What are our operational & financial goals? To achieve our mission, what data do we need and what do we intend to do with it? How will we Protect and Align the data in accordance with the needs of our business? Corporate Strategy Corporate Data Strategy Technology Architecture (Data Capture & Storage) Enterprise Platforms (ERP, CRM, Portal, etc…) Database Management, Network Systems, etc… D ATA S TRATEGY

20. A DG Strategy Articulation Straw-man Facilitate the adoption of information governance capabilities to promote optimal definition and management of our information Establish and promote common business language to improve customer interactions and reduce attrition Provide a branded set of information and analytical capabilities that enables better decisions and actions Establish organization and capabilities to standardize business information and improve and sustain data OWN,Define,Manage,UseEnable us to… Strategic Goals …in order to... Foundational Capabilities: Information Governance Info Strategy Business Info Arch Master Data Management Data Quality Management Stewardship Business Intelligence MISSIONVISION KEY TENETS An organization that leverages information as a competitive asset Raise Awareness Collaborate Improve Quality Raise Awareness Collaborate Improve Quality Metrics Business Objectives Key Information Assets INFORMATION STRATEGY

21. B IGGER D ATA –> L ESS T RUST Increased Volume Decreased trust Increased Velocity Decreased trust Increased Variety Decreased trust

22. Trusted Zone 22 Low Confidence High Quality Low Confidence High Quality High Confidence High Quality --- High Trust --- High Confidence High Quality --- High Trust --- Medium Confidence High Quality Medium Confidence High Quality High Confidence LowQuality High Confidence LowQuality Medium Confidence Low Quality Medium Confidence Low Quality Low Confidence Low Quality --- Low Trust --- Low Confidence Low Quality --- Low Trust --- High Confidence Medium Quality High Confidence Medium Quality Medium Confidence Medium Quality Medium Confidence Medium Quality Low Confidence Medium Quality Low Confidence Medium Quality Confidence Level raw values 0-105 (Confidence Increases  ) Confidence Level raw values 0-105 (Confidence Increases  ) Quality Level raw values 0-100 (Quality Increases  ) Quality Level raw values 0-100 (Quality Increases  ) M ANAGING T RUST

23. Q&A Open Discussion