Big Data 2014
Speaker: Kevin Brown, Solution Architect " IBM Federal Analytics Solution Center Big data, defined as large volumes and wide varieties of data " sometimes delivered at high velocities, is already being collected by most government organizations. In addition, the different types of new data being generated is increasing at rapidly accelerating rates. The ability to perform analytics on this data enables government organizations to improve existing processes and operations and engage in entirely new types of analyses that weren't possible before. The types of data that governments may want to analyze include records about citizens, businesses and transactions stored in core systems and data warehouses; text documents including email, blogs, social media, chat-room exchanges or medical notes; and other data such as videos, broadcasts, images, sensors, and geospatial and weather information. Join IBM for this session and learn from a panel of Public Sector leaders and IBM experts who will share how they are working to leverage data in new and innovative ways to improve service, cut costs and increase transparency. You will also gain valuable insight into what to look for when evaluating and selecting a predictive analytics platform. This session is not to be missed!
BD_S1_Creating Value (1491 KB)
Speakers: A panel discussion, led by Informatica Jim Hasegawa, Deputy Director of Business Planning & Research, CA State Lottery Dr. Linette Scott, Chief Medical Information Officer for the Department of Health Care Services Stephan Zoder, Informatica What is your Big Data Strategy? More importantly what is your overall data strategy? The term big data is certainly all the buzz. Many organizations are talking about developing a big data strategy. Big data cannot be looked at as a singular initiative or effort but instead must be part of a broader organizational data strategy. Data governance, data access, data management, data integration, data retention, data security, data quality, master data management, application data integration and exchange, partner data management, reporting, analytics and visualization are all elements that must be considered for both a big data project as well as an organizations overall data strategy.
This session will focus on best practices in developing and deploying an enterprise data strategy and how they relate to successful projects in government organizations. 1) Establishing the case: how to establish a credible ROI, data as strategic asset vs. overhead cost 2) Developing the program: role of Enterprise Architecture and Business sponsors 3) Planning to sustain the program: sponsorship to proof to perpetuation. Join this session for a brief presentation by state leadership on how they successfully started down the road to a comprehensive data strategy followed by an open panel discussion on the finer points of getting there.
Speakers: Mark Johnson, Director, Engineered Systems and Big Data Programs, Oracle Corporation Wayne Babby, Deputy Director Office of Research, CA Dept of Corrections The Value of Big Data and Analytics in Government " Creating information signals from the data noise The question of why the Public Sector should embark on a Data Discovery program is being asked at all levels of Government. As Public Sector Leaders evaluate the costs of the effort, they have a difficult time evaluating the benefits of investing in Big Data Infrastructure. This session will focus on the benefits of implementing a Big Data Program and the capabilities it builds in Public Sector Organizations. The California Department of Corrections and Rehabilitation (CDCR) has embarked on providing Big Data capabilities in its organization to address several challenges in assessing programs and policies. The key challenges identified were disparate data systems, localized data, volumes of data, data received from external agencies in flat files, inconsistency of format and the amount of time needed to get the desired results. This session will discuss why CDCR embarked on the Big Data adventure, the key steps to launching the effort and what the next steps will be in taking advantage of the Big Data foundation within the CDCR. A brief demo of CDCR's application of Big Data tools will be shown along with the main benefits the tool brings to CDCR.
Speaker: Jeff Baxter, Manager of the Consulting Systems Engineering Group, NetApp The new era of large-scale data is breaking traditional architectures" there's simply too much content to store and manage efficiently. This session will discuss how distributed content repositories can help you store as much data as you want, find what you need when you need it, and manage it intelligently. Key Points: Manage billions of objects across multiple sites using metadata. Implement policy-driven, automated storage management. Protect your data with self-healing infrastructure and encryption. Distribute content across sites for DR and low-latency workflow.
Speaker: Clayton Wallace, Sr Cslt-Sol Architect/Dev, Verizon Security is a key component of Big Data along with Analytics and this interactive session will cover what and how you should be protecting your organizations critical information. Big Data can contain your organizations most critical data and will be targeted by cyber criminals. This open panel, along with audience participation, will discuss recommended steps for securing the levels of access to your organizations data. The panel will have public and private sector panelist and will also encourage audience participation to ask questions and pose comments in order to share in the learning experience. If you are responsible for implementing and securing your organizations access to Big Data please join us.
BD_S5_Securing Access to Big Data (801 KB)
Speaker: Nitin Singhal, Graviton Consulting Services Inc. Are you considering building an easily scalable and cost effective data warehouse solution using Apache Hadoop Open Source tools? In this session, we will present an overview of the Hadoop echo system and how it can solve your specific business needs. You will learn the conceptual architecture of a data warehouse, how it fits within the Hadoop environment, and how existing data sources such as ERP applications, CRM applications, Social Media, Log Files, documents or any other unstructured data can be leveraged.
Speaker: Simon Taylor, National Director, Information Management for CommVault Managing the Big Data growth problem in the enterprise is tough. While government IT departments grapple with how to support complex Big Data environments and reduce operational costs, legal and FoIA teams are tasked with making accommodations for Big Data in the already expensive eDiscovery and disclosure processes. How do these teams account for producing these emerging data types and do it all with fewer resources and budget spend? This webinar discusses how to best to retain, access, discover and ultimately delete Big Data content in compliance with evolving regulations, records directives and case law.
BD_S8_Defending Big Data (4150 KB)
Speaker: Dale Jablonsky, Vice President " Executive IT Strategist, Performance Technology Partners, Inc. A sustainable analytics program must involve thought leaders who understand the full range of enabling power analytics can provide. A sustainable analytics program should also be driven by the business opportunities of the organization, many of which have yet to be discovered. It is often enticing for beginning business intelligence (BI) programs to leap to hard-core analytics technologies, including Big Data, without understanding the comprehensive analytics vision necessary to achieve transformational business value. This session will provide a strategic model for establishing a rock-solid analytical foundation that serves as a catalyst for your emerging Center of Analytical Excellence, and ensures a sustainable analytics program.
BD_S9_Building a Sustainable Analytics (2022 KB)
Becoming an Intelligent Enterprise: From BI to Big Data in the Public Sector " The Future of Public Sector Analytics 85% of government IT officials believe Big Data offers substantial budget savings. Public sector and higher education organizations can use Big Data to save money, improve service quality, and improve citizens' lives. But the complexity and ambiguity in managing and leveraging Big Data create a range of challenges, from overcoming technical constraints to identifying innovative opportunities. Where are you on your Big Data journey? What are your next steps to get the most value from your data? Join us in this session to understand where Big Data fits in your Analytics journey.
Speakers: Jason Fedota, CGI Jeff McTygue, Franchise Tax Board Vicky Sady, CA Dept of Health Care Services Traditional development of government systems has concentrated data into applications purpose-built for the programs they serve. This has led to data architecture that adequately serves the purpose of each program area, but does not easily facilitate cross-program analysis or an enterprise view of data. As a result, State and local government departments often face challenges in comparison of similar data elements across programs. Multiple definitions may exist for citizen and recipient identities, as well as for more fundamental data elements associated with demographics and program metrics. A Master Data Management approach can help define enterprise data standards and rationalize data definitions to address these challenges. Several Master Data Management tools provide advanced matching methods and rules to facilitate standardization of data. As sophisticated as these tools are, there are many aspects to implementing an enterprise data standardization effort. This session will focus on what Data Management practices are critical to project success based on experience with ongoing State projects.
Speaker: Nils Engel, Sr. Solutions Consultant, Adobe Understand your constituents: online, offline, everywhere To understand the people government serves, you need a 360-degree view of your customers. With data analysis tools you can collect, process, analyze, and visualize Big Data from online and offline constituent interactions. More importantly, several tools will do it in real time and at scale, so you can quickly turn terabytes of information into actionable information that can be shared with stakeholders and used to make decisions that can improve the performance of your business. This workshop will take attendees through the process of examining information to be able to make more effective decisions.
BD_S12_Understanding Your Constituents (1692 KB)
Speaker: Greg Kleiman, Director, Business Strategy, Storage Business Unit, Red Hat Explosive data growth has stretched hardware-based proprietary solutions to their limits. Government organizations need a simple, scalable, and secure software-defined platform that can run on commodity hardware as well as burst into the cloud. An open software-defined data center solution, delivers a continuous data platform across physical, virtual, and cloud resources. This enables government agencies to manage more data, at a lower cost, while enjoying the flexibility of a vibrant and agile open source community.
Speaker: Ajay Chandramouly, Big Data Domain Owner, Intel IT , Intel Corporation Going From Big Data to Big Answers Big data is a game changer. To successfully derive value from their big data, organizations need new ways to harness it and mine it for insight. To establish big data analytics as a capability, IT must work with data sets that are larger, more varied, and generated at a faster rate than ever before. Big data can be transformational in solving high value business problems. In Intel IT we are investing in advanced analytics, smart infrastructure for big data, and self-service business intelligence (BI) capabilities to gain actionable insights in near real time. Key discussion areas: " Intel IT Best Practices " Mining Big Data for Deeper Insights and Savings " Increasing Business Velocity and Efficiency " Advanced Predictive Analytics to solve high value problems " New Frontiers in Big Data and BI
Speakers: John Y Miller, Managing Director, Accenture Erin Akred, Vice President, Data Science, Crowdpac; former Presidential Innovation Fellow, USDA Economic Research Services Organizations face major challenges in deriving meaningful insights from their enormous amounts of diverse data. In order to make better decisions " i.e. decisions that drive positive, valuable outcomes to citizens and constituents " organizations must learn how sort through, analyze, and draw insights from their data. This session will provide a roadmap for leveraging the tremendous technology and tools that are available to organizations to help them navigate their analytics journey, ultimately achieving improved efficiency and quality in service delivery and decision-making.
BD_S15_Journey to ROI for Government (1353 KB)
Speakers: Carl Hammersburg, Government Fraud Specialist/SAS Institute Randy Silva, Chief Investigation & Special Operations, CA Board of Equalization Traditional approaches (tips, hunches, outdated case files) to dealing with fraud, compliance and security risks aren't sufficient anymore. That's true for all levels of government. Fraud and improper payments continues to be a major issue affecting the fiscal condition of state programs. Fraud and abuse perpetrators and their schemes are constantly evolving and becoming increasingly more sophisticated. Traditional "pay-and-chase" controls are no longer sufficient to address today's complex program integrity challenges. In order to effectively combat fraud and abuse, agencies need to take a holistic approach that focuses on both detection and prevention. In this session, presenters, including a special guest executive from California, address challenges, trends and successes from within California as well as looking at a broader perspective from outside the state. Sharing data is critical for the broader perspective and maximum protection, but also a legal and technical hot button. Learn how laws and practices are trending and how analytics are utilized to provide automated and continuous views of risk that can leverage strapped resources and save tens to hundreds of millions of dollars.
Speaker: Jay Patel, Director of Strategic Consulting, Presidio What is big data? With the Volume, Variety, and Velocity of information generated by businesses today, IT infrastructures are struggling to keep up with the demands. Departments are seeking technologies that not only help them process and manage all that data, but tap into it to develop insights about the people and process and performance. The amount of information being processed is doubling every two years, growing from about 3.6 zettabytes this year to 57.5 zettabytes by 2021 (Research from IDC). So the question is, where are you going to put it all?
BD_S17_What is Big Data (2255 KB)
Speakers: Robert Wisnowski, Strategist, Big Data Storage and Cloud Solutions " HP Van Young, Strategist, Big Data and Cloud Solutions " HP Big Data initiatives will have transformational impacts on the data center. A comprehensive approach to governance, planning, utilization, and management of data center resources is required to fully realize the value benefits of big data initiatives. Addressing issues associated with the collection, analysis, and storage of sensitive, multi-jurisdiction data will be paramount. With a focus on strategies dealing with governance, data management, protection and utilization, this session will examine case studies of government and business responses to the higher performance, scalability, agility, and availability requirements on data center infrastructure being driven by big data initiatives.
Speaker: Peter Linnell, Director, SUSE Big Data and Data Management Challenges in Government Today This session highlights and attempts to address the challenges and benefits of Big Data solutions in today's government IT environment. We will consider firstly what are the general components a Big Data solutions and outline the Big Data software ecosystem. Next, we will identify key issues in selecting vendors and what considerations agencies and departments need to have in mind before implementing a Big Data solution. Then, we will look at the regulatory and legal aspects which need to be considered, as well as, technical challenges and opportunities. Lastly, we will identify examples of successes in the public sector using Big Data. During the session, audience participation will be sought on the specifics of data management inside agencies and departments, as well as, what are the expectations of returns on investment in IT.
Speaker: Joseph Russell, VMware Storing Big Data is a requirement in most agencies, but the ability to build, manage, and scale an infrastructure to support Big Data in an efficient and secure fashion can be challenging. Hear about architecture and management best practices, and delivering big data on existing infrastructure
peakers: Alex Castro,, Enterprise Program Director, M Corp Amy Tong, Chief Information Officer/Deputy Director of IT, CA State Lottery Chris Riesen, Chief Enterprise Architect, CalPERS Enablement: How to make analytics and big data work once you have made your investment The drive to leverage big data through analytics and business intelligence solutions has accelerated the purchase of tools and staff on a project basis. Understanding how to take this investment beyond a project or single use application is where many struggle and, inevitably, lose ground in retaining the justification for the expense. Very often, after the implementation process, many leaders and users are looking for ways to get more from ongoing investment. This session will address the following questions " 1)How to move past a silo model of a single, or multiple, analytics deployment and ownership? 2) Who should be driving the BI and analytics direction (business or IT)? 3) What is the best approach to managing the technology foot print of the tool deployment? 4) What are the major failure points in leveraging analytics and big data? 5) At what stage do we consider implementing an Analytics Center of Excellence (ACE) or Business Intelligence Competency Center (BICC)? 6) Where do the analytical scientists best fit in? 7) How do I staff up to handle our BI and Analytics needs? This session explores how to deliver the enablement of your enterprise to realize the capabilities of the tool set.
Speakers: Nasser Azimi, Senior Partner, Teranomic Matt Kixmoeller, VP of Product Solutions from Pure Storage Data Presentation is a big issue in public sector due to the numerous ways the same data is presented to government employees, citizens, and businesses from one agency to the next. Given the range of data needs everyone has from government, getting uniform information that makes sense is key to the underlying success of day to day government workers, policy makers, and law makers to properly serve citizens and businesses in need of government services. In addition, uniform data will enhance everyone's adoption of new government technology and cross program partnership trust that is inherent to making big data work! This session will focus on the human interface, methodologies, tools, and a roadmap to make "Uniform Data Presentation" work in a manner that serves the cross-cutting government responsibilities inline with privacy, confidentiality, and security requirements. This session will provide attendees with a clear understanding of the ultimate target for "functional data" that government, citizen, and private businesses at all levels need to get the job done!
Speaker: Sherwick Min, Senior Chief Architect, Delegata With the entry of Big Data showcasing high volume, highly volatile and rapidly accumulating new media, the challenge to build information systems correctly the first time becomes even more challenging. We will talk about foundational strategies for delivering high quality, multigrade data for ever-evolving business needs through the adoption of information management best practices that are equally relevant to Big Data and conventional sources alike. It all starts with asking the right questions in order to deliver the right answers.
Speaker: Nauman Sheikh, Director of Analytics, Pondera Solutions Join veteran big data architect and author of "Implementing Analytics" to discover a new technology approach that simplifies big data analytics and creates a "bottom-up" approach to solving real world problems . Having implemented large scale operational and predictive analytics systems in multiple continents with companies like Experian, Fidelity Information Systems, Navistar and Exelon, Mr. Sheikh explains a new approach for using predictive analytics and how to leverage Google, big data, and the cloud to simplify analytics in the governmental, educational, energy and agricultural sectors.
See how this new approach will empower program staff and middle managers to embrace analytics to improve program integrity without incurring multi-year development efforts. Note: Signed copies of "Implementing Analytics" will be given to active participants in the session!
1. Defining the new analytics paradigm 2. Identifying opportunities for Analytics in Operations 3. Applying analytics to existing data using existing technology 4. Embedding analytics in day to day operational decisions 5. Staying relevant and actually improving over time.
Speaker: Mark Seward, Senior Director of Security and Compliance Solutions, Splunk Inc. So often in our agencies, information silos keep us from sharing data and communicating the right information at the right time to stop cyberthreats. Efforts to stop these threats are also complicated by reactionary traditional views of security that include a strategy of data reduction and normalization. Often this can turn a rich dataset into a " skim milk' view of our security posture. In reality, all data is security relevant in its raw form and must be made available to combat advanced threats. The advent of " big data' solutions offers the opportunity to bring scalability, analytics, new thinking and a data inclusion strategy to bare on cybersecurity problems. Hear why a big data is not a buzz word and how it will change the way we think about and analyze advanced threats and cybersecurity issues.
Much of today's big data is being created by billions of sensors that are embedded in everything from traffic lights and running shoes to medical devices and industrial machinery " the backbone of the internet of Things (IoT). But the real value of all this data can be realized only when we look at it in the context of the Internet of Everything (IoE). While IoT enables automation through machine-to-machine (M2M) communications, IoE adds the elements of "people" and "process" to the "data" and "things" that make up IoT. Analytics is what brings intelligence to these connections, creating endless possibilities. We will discuss implications and benefits for the Government and Education sector for implementing an architecture to capture big data and make the most out of the internet of Everything.
BD_S27_Big Data-Not Just Big (4496 KB)