Demystifying Big Data: A Practical Guide to Transforming the Business of Government

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1 Demystifying Big Data: A Practical Guide to Transforming the Business of Government Prepared for: Object Management Group Cloud Standards Customer Council Big Data in the Cloud Conference March 18, 2013

2 TechAmerica is the leading voice for the Information and Communications Technology (ICT) industry in the United States. Membership is comprised of large, medium and small technology companies who create a variety of products and deliver a multitude of services in the private sector and to governments at the state and national level. The Association s top priority is to foster an environment for members to succeed through comprehensive global, national and regional advocacy and high-level business intelligence that delivers an edge in the marketplace.

3 The TechAmerica Foundation educates industry executives, policymakers, and opinion leaders on the promise of technological innovation to advance prosperity, security, and the general welfare. Launched in 1981, the foundation is a 501(c)(3) non-profit, nonpartisan affiliate of TechAmerica. It disseminates award-winning industry, policy, and market research covering topics such as U.S. competitiveness in a global economy, innovation in government, and other areas of national interest.

4 Bill Perlowitz Chief Technology Officer, Vice President Solutions Division Wyle Science, Technology and Engineering Group Bill Perlowitz is the Vice President and CTO of Wyle s Science, Technology and Engineering Group, bringing over 30 years of dynamic technical and management leadership in the federal marketplace. Perlowitz applies his strategic and tactical skills and his extensive expertise to develop and deliver service offerings that will align Wyle s innovative technology solutions with the missioncritical objectives of Federal customers. Prior to joining Wyle, he was Vice President of Advanced Technology at URS, CTO of Reliable Integration Services, and had worked for United Technologies Sikorsky Aircraft and IBM s Federal Sector Division. As an industry visionary, Perlowitz was the founding Chairman of TechAmerica s committee on Public Sector Big Data which focuses on policy issues surrounding the federal, state and local government s ability to procure, deploy, and utilize infrastructure, software, analytics, visualization, and security products. He has served as Chairman of the committee on Public Sector Cloud Computing, which focuses on standards development and government-wide adoption of cloud computing services. He was also Deputy Commissioner for the Commission on the Leadership Opportunity in U.S. Deployment of the Cloud. He was vice-chair of the Commission of experts and academics who developed and published the report Demystifying Big Data: A Practical Guide to Transforming the Business of Government in October of DISCLAIMER: THE VIEWS AND OPINIONS EXPRESSED IN THIS PRESENTATION ARE THOSE OF THE AUTHOR AND DO NOT REPRESENT ANY POLICY INITIATIVES OF THE GOVERNMENT OF THE UNITED STATES OR NECESSARILY REFLECT THE VIEWS AND OPINIONS OF TECHAMERICA, THE TECHAMERICA FOUNDATION, THE TECHAMERICA FOUNDATION BIG DATA COMMISSION MEMBER COMPANIES, THE TECHAMERICA FOUNDATION COMMMISSION ON THE LEADERSHIP OPPORTUNITY IN U.S. DEPLOYMENT OF THE CLOUD MEMBER COMPANIES, OR THE TECHAMERICA FOUNDATION STATE & LOCAL GOVERNMENT CLOUD COMMISSION MEMBER COMPANIES.

5 CLOUD 2 Commission on the Leadership Opportunity in U.S. Deployment of the Cloud (CLOUD 2 ) The Commission was comprised of 71 experts from industry and academia, comprised of 45 commissioners from the public sector and 21 from the commercial sector Co-chairs Marc Benioff, Chairman and CEO, salesforce.com & Michael Capellas, Chairman, VCE The Virtual Computing Environment Company August, 2011 Report: Cloud First, Cloud Fast: Recommendations for Innovation, Leadership and Job Creation Cloud Buyer s Guide for Government Case Studies and Cloud Resources

6 SLG-CC TechAmerica Foundation State & Local Government Cloud Commission The Commission was comprised of 52 experts from industry and academia, comprised of 14 advisors from the public sector and 38 commissioners from the commercial sector Chairman Tarkan Maner. President and CEO, Wyse Technology, vice-chair David L. Cohn, Ph.D., Program Director, Smarter Cloud, IBM T.J. Watson Research Center, vice-chair Daniel Kent, Public Sector CTO, Cisco February, 2012 The Cloud Imperative: A Comprehensive Guide for Best Practices in Cloud Computing for State and Local Governments Best Practices, Case Studies, White Papers

7 Big Data Commission Charter June 2012 October 2012 Define Big Data characteristics Describe the key business outcomes Provide a framework for policy discussion Strategy: Recommend best practices Share lessons learned Outcomes: Cut through the hype Shorten the adoption curve Provide a pragmatic road map for adoption

8 Big Data Commission The Commission was comprised of 42 experts from industry and academia, comprised of 13 advisors from the public sector and 29 commissioners from the commercial sector and academia. Chairs Vice-Chairs Academic Chairs

9 Representation Private Sector & Academia (29) Amazon Web Services, Attain, CA Technologies, CGI, Cloudera, CSC, Dell, EMC Corporation, GCE, General Dynamics C4 Systems, Globanet, Grant Thornton LLP, GTSI Corp., Hewlett-Packard, IBM, ID Analytics, Lockheed Martin IS&GS, MEI Technologies, Microsoft, MicroStrategy, NetApp, North Carolina State University, Poplicus, Inc., SAP, Savvis A CenturyLink Company, Splunk, TASC, Western Governors University, Wyle Public Sector (7) Centers for Medicare and Medicaid Services, Internal Revenue Service, NASA Johnson Space Center, National Coordination Office for Networking and Information Technology Research and Development, National Science Foundation, Office of Management and Budget, Office of Science and Technology Policy

10 Report Demystifying Big Data: A Practical Guide to Transforming the Business of Government October 3, Pages Five Chapters Big Data Definition & Business Mission / Value Big Data Case Studies Technical Underpinnings The Path Forward: Getting Started Public Policy

11 Outlook The impact of Big Data has the potential to be as profound as the development of the Internet itself. Big Data provides the opportunity to transform the business of government by providing greater insight at the point of impact and ultimately better serving the citizenry, society and the world. Hidden in the immense volume, variety and velocity of data that is produced today is new information, facts, relationships, indicators and pointers, that either could not be practically discovered in the past, or simply did not exist before. Harnessing Big Data also will serve the key objectives and recommendations described in the Digital Government Strategy unlock the power of government data to spur innovation across our nation and improve the quality of services for the American people. Ten years from now, we may have forgotten the term, but its principles will underpin society.

12 Definition Big Data is not a technology, but rather a phenomenon resulting from the vast amount of raw information generated across society, and collected by commercial and government organizations.

13 Use Cases Examples of use cases and live case studies are critical in understanding the potential of Big Data. Healthcare Quality & Efficiency Healthcare Early Detection Transportation Education Fraud Detection Healthcare Benefits Services Cyber Security Fraud Detection Tax Collection Weather New Ways of Combining Information Helping the Unemployed Find Work

14 The Path Forward Successful government agencies will seek to define their requirements and use cases, and ask, How can Big Data help? although the impact of Big Data will be transformational, the path to effectively harnessing it does not require government agencies to start from scratch with greenfield investment. Rather government can build iteratively on the capabilities and technologies it already has in place. Success in capturing the transformation lies in leveraging the skills and experiences of our business and mission leaders, rather than creating a universal Big Data architecture. Define Business Requirements Plan to augment & iterate Pick a Big Data entry point Identify gaps Iterate

15 Leveraging Lessons Learned 1. While Big Data is transformative, the journey towards becoming Big Data capable will be iterative and cyclical, versus revolutionary. 2. Start with a business or mission requirement that cannot be met not technology 3. Start with a narrow mission requirement and build fit for purpose 4. Address initial use case by augmenting current investments keeping in mind inevitable expansion 5. Asses requirements, identify gaps, plan investments 6. Pick one entry point volume, velocity, variety characteristic 7. Expand to adjacent use cases

16 Getting Started Government agencies should think about Big Data not as an IT solution to solve reporting and analytical information challenges but rather as a strategic asset that can be used to achieve better mission outcomes 1. Understand the art of the possible examine case studies 2. Identify 2-4 key mission requirements Big Data can address 3. Take inventory of internal & external data asserts 4. Pick V 3 entry point and gap analyze current capabilities & architecture 5. Explore data that can be made public

17 Technology Underpinnings

18 Cloud Computing Considerations Big Data presents federal IT leadership with options for deployment infrastructure that can include cloud computing for development, test, integration, pilots and production.

19 Case Studies Replacing or supporting human decision-making with automated algorithms Reducing inefficiencies within an agency Creating transparency Improving performance by enabling experimentation to discover needs and expose variability Improving ROI for IT investments Improved decision-making and operational intelligence Providing predictive capabilities to improve mission outcomes Reducing security threats and crime Eliminating waste, fraud, and abuse Innovating new business models and stakeholder services 5 Federal and 5 other case studies in report, 8 available on web site: CMS Medical Records Analytics IRS Compliance Data Warehouse NARA Electronics Records Archive NASA Human Space Flight Imagery NOAA National Weather Service AM Biotech DNA Sequence Analysis for Creating Aptamers Royal Institute of Technology of Sweden (KTH) Traffic Pattern Analysis TerraEchos Perimeter Intrusion Detection University of Ontario (UOIT) Medical Monitoring Vestas Wind Energy Wind Turbine Placement & Maintenance

20 Findings in 2011, 1.8 zetabytes of information were created globally, and that amount is expected to double every year. This volume of data is the equivalent of 200 billion, 2-hour HD movies, which one person could watch for 47 million years straight. The good news is that not only is it possible to extract value from Big Data, but the path is relatively straightforward. Perhaps as important, the path to harnessing the value of Big Data is now affordable. efforts will also create new markets and business opportunities for the private sector. The federal government has a significant opportunity to boost the efficiency and value of investments for citizens at a time when public finances are constrained and likely to remain so, as U.S. and world population ages and diversifies, the economy continues to globalize, and the expectations on the part of the citizenry intensify.

21 Agency Recommendations Agencies will gain efficiencies if they ensure data center transformations address these necessary Big Data infrastructure requirements as part of their consolidation strategy. agencies develop Big Data Governance Plan to help guide the agency from an information management perspective: Identify data and content that are vital to its mission Identify how, when, where, and to whom information should be made available Determine appropriate data management, governance, and security practices Identify and prioritize the information projects that deliver the most value A Big Data Information Plan ensures that the major components of the governance plan are working in unison: Information strategy is the vision that guides decisions and helps the organization determine how best to support business goals Information infrastructure is the technology and capabilities that are needed to establish a common information framework Information governance is the policies and practices that facilitate the management, usage, improvement, and protection of information across the organization Road map is a phased execution plan for transforming the organization

22 Recommendations the federal government should examine existing organizational and technical structures to find and remove barriers to greater Big Data uptake and, where needed, take action to accelerate its use. Create a formal career track & establish leadership academy to provide formal Big Data training and certification. Establish analytics college-to-service internships. Broaden government, industry, academic, and professional society coalition to maintain professional and competency standards. Expand OSTP R&D strategy to encourage research into new tools & techniques: Education, training, and curriculum Management and analytic tools Privacy technologies New economic models hat encourage sharing Advanced computing technologies Objective metrics to reduce the cost of operations

23 Recommendations Strengthen requirements to expose data assets to public and private sector Add data collaboration to agency performance metrics government agencies should create an ownership structure for the data, treating it like any other asset clearly define roles and responsibilities to ensure that the discipline of Big Data is not overlooked. Name a single official both across government and within each agency to bring cohesive focus and discipline to leveraging the government s data assets to drive change, enhance performance, and increase competitiveness. Examine innovative agency approaches to focus on Big Data organizationally, such as the Federal Communications Commission s (FCC) decision to appoint a Chief Data Officer

24 And Privacy The Commission does not believe that realizing the promise of Big Data requires the sacrifice of personal privacy. There are over 40 laws that provide various forms of privacy protections. Specifically, we recommend that OMB strongly collaborate with industry and advocacy groups and issue additional guidance that addresses: One uniform guiding set of principles and practices How to use data not in a System of Record Identify best practices to realize Fair Information Practice Principles Promote confidence in non-regulated, de-identified information Clear public policy regarding notice and access to enable choice and transparency. Regular updates to privacy policy as technologies, attitudes, and needs evolve.

25 Useful Links Digital Government Strategy Digital Government: Building a 21 st Century Platform to Better Serve the American People Deliverables: TechAmerica Public Sector Committees: Big Data Subcommittee Cloud Computing Committee Cloud Computing Legislative Task Group TechAmerica Foundation Big Data Commission (and Case Studies) Report: Demystifying Big Data: A Practical Guide to Transforming the Business of Government Commission on the Leadership Opportunity in U.S. Deployment of the Cloud (CLOUD2) Report: Cloud First, Cloud Fast: Recommendations for Innovation, Leadership and Job Creation adership_and_job_creation.pdf Cloud Buyer s Guide for Government Case Studies and Cloud Resources TechAmerica Foundation State & Local Government Cloud Commission Report: The Cloud Imperative: A Comprehensive Guide for Best Practices in Cloud Computing for State and Local Governments Best Practices, Case Studies, White Papers

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