Gartner Business Intelligence & Analytics Summit 2014 March 31 April 2 Las Vegas, NV www.gartnerevent.com/us/bibr The Future of Your Business: Transparent, Decisive, Personalized KEY BENEFITS Understand emerging technologies in big data and advanced analytics Determine the role of data warehousing in your analytics strategy Decide how to incorporate new roles such as the data scientist and chief data officer Create a game plan for more agility and self-service EARLY-BIRD DISCOUNT Register by January 31 Visit www.gartnerevent.com/us/bibr for agenda updates and and to register! save $300 1
Create a BI and analytics strategy that positively impacts your business model Improve your ROI with new big data and analytics technologies Whether you re launching your first business intelligence and analytics initiative or leading the next phase of an existing program, Gartner Business Intelligence & Analytics Summit 2014, March 31 April 2, in Las Vegas, NV, enables you to validate your BI and analytics strategy and approach, exchange best practices with peers, benchmark where you are against your competitors, and generate new ideas to improve your organization s ROI. You ll benefit from a unique learning experience filled with actionable presentations, real-world case studies, one-on-one analyst engagements, and access to leading BI and analytics solution providers. Explore key BI and analytics trends Big data and advanced analytics technologies, including Hadoop, NoSQL and Watson Predictive analytics and the role of the data scientist Leveraging the full economic value of your organization s data Sensor technology ranging from manufacturing to personal analytics The ethical limitations of BI and analytics: When does your company know too much about its customers or constituents? Modern trends in BI, such as discovery, mobile, cloud, visualization and self-service Explore the leading edge of where new analytic capabilities are taking your business In-depth, analyst-driven content will provide you with firsthand insight into the whole spectrum of analytics to help you: Better align with and track against your corporate strategy and objectives Improve your relationships between your business and IT organizations Move your users toward a self-service model of information delivery Justify BI, analytics and program management investments Discover what s new for 2014 Delve into BI and analytics innovation. You ll get a fresh look at emerging trends like cognitive computing, quantified self and infonomics, the discipline of valuating your data. Experience more how-to insights. Hear directly from industry trailblazers in our new Practitioner s Corner track, which profiles analytics success stories and provides you with practical, actionable advice. Find content specific to your role. Attend six new forums by industry and role for healthcare professionals, finance professionals, marketing and customer-facing professionals, data scientists, business leaders and insurance professionals. Share new ideas with your peers. You ll have more opportunities to network with your peers at our networking breakfasts, receptions, Super Roundtable sessions and more. North America s most important annual gathering of the BI and analytics community Table of contents 4 Meet the analysts 5 Keynotes 6 Agenda tracks 7 Summit features 8 Agenda at a Glance 10 Solution Showcase 11 Registration and pricing
Meet the analysts Keynotes Merv Adrian Mark A. Beyer and Tom Austin and Gartner Fellow Frank Buytendijk Ian A. Bertram Managing Neil Chandler Ray Kurzweil Inventor, Entrepreneur, Author, Futurist, and of Engineering, Google Guest keynotes Ray Kurzweil is one of the world s leading inventors, thinkers and futurists, with a 30-year track record of accurate predictions. Kurzweil was selected as one of the top entrepreneurs by Inc. magazine, and PBS selected him as one of the 16 revolutionaries who made America. Jeff Cribbs Principal Research Analyst Kimberly Harris-Ferrante and Roxane Edjlali Gareth Herschel Ted Friedman and Nick Heudecker Mark Jeffries Advisor and Communications Consultant Author, keynote speaker and former Merrill Lynch stockbroker, Mark Jeffries has become a trusted advisor and communications consultant to some of the world s largest and most successful corporations, agencies and partnerships. Jeffries has published two books: What s Up With Your Handshake? and The Art of Business Seduction. Bill Hostmann and Lisa Kart Avivah Litan and Distinguished Analyst Jamie Popkin Managing Vice President Kurt Schlegel Carlie J. Idoine Douglas Laney Debra Logan and Gartner Fellow Carol Rozwell and W. Roy Schulte and Christopher Iervolino Alexander Linden Josh Parenteau Rita L. Sallam Vi Shaffer Ian A. Bertram Managing Mark A. Beyer and Frank Buytendijk Lisa Kart Rita L. Sallam Kurt Schlegel Alex Soejarto Gartner keynotes Gartner Opening Keynote: The Future of Your Business Transparent, Decisive, Personalized Transparent organizations have strengthened business relationships and created new revenue opportunities by making information available to customers, partners and suppliers. Advances in cognitive computing and predictive analytics have made information systems more decisive, enabling businesses to optimize millions of daily decisions. And the next phase is upon us, where personal analytics start to challenge existing business models by collecting precise data using social media monitoring and real-time sensors to personalize every customer experience. But as capabilities are stretched, how far is too far? The Gartner Magic Quadrant Panel: BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics Gartner Magic Quadrants are a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market s competitors. This is your chance to hear Gartner analysts at their best unbiased, unscripted and unfiltered. It is also your chance to ask the questions that will help you with your investments. Svetlana Sicular Michael Smith and Alex Soejarto Closing Keynote: Monetize Your Information Dan Sommer Principal Research Analyst Jenny Sussin Principal Research Analyst Joao Tapadinhas John E. Van Decker
Agenda tracks A Strategy B The C Big D Advanced E Jump-Start and Leadership This track explores effective new governance mechanisms, organizational models and competency centers, new skills every analytics program leader should have, emerging roles and career paths, and strategies for becoming a more effective BI and analytics leader. Business Case for Analytics This track examines cutting-edge business cases in analytics to see how they create business value, explores the latest trends in performance management and explains how to determine the value of information and analytics. Data In this track, we explore and highlight successful adoptions of new technologies such as in-memory computing, NoSQL databases, Hadoop, interactive visualization, social media monitoring, natural-language processing and complex-event processing. Analytics This track explores how to decide which new technologies your organization needs to get ahead and how to successfully implement them, from cognitive computing engines such as Watson, to mobile and social analytics and advanced visualization. Your Analytics Initiative In this track, we look at best practices other organizations have adopted with positive results. We also explore how some companies are using new self-service and data discovery techniques to reinvigorate their BI and analytics initiatives. Hot topics by track Governance Organization models BICC Leadership skills Professional development Business value Performance metrics Infonomics In-memory computing NoSQL databases Hadoop Quantified self Social media monitoring Smart machines Crowdsourcing Predictive and prescriptive analytics Real-time analytics Self-service BI Data discovery Cloud BI Interactive visualization Agile BI Summit features Gain knowledge, share experiences, network with your peers and meet with solution providers to improve your business Preconference tutorials Join us Sunday for our complimentary preconference sessions to get up to speed and gain an overall perspective on BI terms and definitions. Track sessions Leveraging the latest Gartner BI and analytics research, these sessions focus on providing real-world information so you can make better decisions and drive results. Hands-on workshops These small-group workshops immerse you in real-world problem solving, with practical take-aways. (Preregistration is required.) End-user case studies Hear directly from user practitioners who share the lessons learned and the successes and challenges of BI and analytics initiatives. Solution Showcase Meet with today s leading and emerging BI and analytics solution providers, all under one roof, and get the latest information and demonstrations on new products and services. Solution provider sessions Get an inside view of current marketplace offerings from the solution providers that develop them and clients who deploy them. Analyst one-on-ones Private 30-minute consultations with a Gartner analyst provide targeted, personalized advice to help you plan proactively and invest wisely. (Preregistration is required.) Analyst-user roundtables These topic-driven end-user forums are moderated by Gartner analysts. Learn what your peers are doing around particular issues and across industries. (Preregistration is required.) Professional and industry forums Experience dedicated sessions that tackle today s most current issues and challenges for healthcare professionals, finance professionals, marketing and customerfacing professionals, data scientists, business leaders and insurance professionals. F Practitioner s Corner Come hear what some of the leading BI practitioners are doing in their own organizations to deliver true business impact through the use of information in their decision-making process. This track presents some of the best and most innovative case studies in the field of BI and analytics today. Industry examples One week. Two strategic summits. Gain the necessary strategies to address the full spectrum of BI, analytics, and MDM challenges that you can share with your team. Gartner Business Intelligence & Analytics Summit is back-to-back with Gartner Enterprise Information & Master Data Management Summit, March 31 April 4, 2014, in Las Vegas, NV. Save $1,105 when you stay the full week. 6 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 7
Agenda at a Glance Agenda as of December 12, 2013, and subject to change Sunday MARCH 30 2:00 p.m. Registration 3:00 p.m. T1. The Fundamentals of a BI and Analytics Platform Josh Parenteau T2. Understanding the Analytics Spectrum Lisa Kart W1. The Analytics of Collaborative Healthcare Models Jeff Cribbs 4:15 p.m. T3. Fundamentals of Corporate Performance Management Christopher Iervolino, John E. Van Decker T4. Data Science Tutorial Alexander Linden W2. Gauging and Improving Your Information Maturity Douglas Laney 5:30 p.m. Welcome Reception Monday MARCH 31 TRACK A Strategy and Leadership TRACK B The Business Case for Analytics 7:00 a.m. Registration General Breakfast by Industry and Role TRACK C Big Data TRACK D Advanced Analytics TRACK E Jump-Start Your Analytics Initiative 7:00 a.m. INB1. Industry Networking Breakfast for Analytic Professionals in the Healthcare Provider Industry INB2. Industry Breakfast: Financial Professionals Office of the CFO Christopher Iervolino, Michael Smith, John E. Van Decker 8:15 a.m. K1a. Gartner Opening Keynote The Future of Your Business: Transparent, Decisive, Personalized Frank Buytendijk, Rita L. Sallam, Kurt Schlegel 9:00 a.m. K1b. Welcome Remarks Kurt Schlegel 9:45 a.m. A1. Does Your Company Need a Chief Data Officer, Chief Digital Officer or Both? Debra Logan 10:45 a.m. Solution Provider Sessions 11:45 a.m. Attendee Lunch and Solution Showcase Dessert Reception 2:00 p.m. A2. Engaging Your CFO in Business Analytics Christopher Iervolino, John E. Van Decker 2:00 p.m. W3. Building a Metrics Framework Michael Smith 3:00 p.m. Solution Provider Sessions B1. Cause and Effect: Determine the Value of Analytics Michael Smith B2. Customer Service Metrics: What, Why and How Gareth Herschel C1. Big Data and the Analytic Art of the Possible Merv Adrian C2. What About the Data Warehouse? Start? Stop? Continue? Mark A. Beyer, Roxane Edjlali D1. The Rise of the Smart Machines: Their Technical, Business, Economic and Social Impacts Tom Austin D2. Google, Apple Siri, and IBM Watson Natural Language Question Answering in Your Enterprise Jamie Popkin 4:30 p.m. K2. The Gartner Magic Quadrant Panel: BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics Ian A. Bertram, Mark A. Beyer, Lisa Kart, Rita L. Sallam, Alex Soejarto 5:30 p.m. Solution Showcase Reception and Theater Presentations E1. The Top 5 Wrong Assumptions About Business Analytics Carlie J. Idoine E2. The Disruptive Impact of Data Discovery Dan Sommer, Joao Tapadinhas TRACK F Practitioner s Corner F1. Case Study Vi Shaffer, Jeff Cribbs F2. Case Study Merv Adrian Tuesday APRIL 1 7:00 a.m. Registration Networking Breakfast INB3. Industry Breakfast: Healthcare Professionals Networking Breakfast Jeff Cribbs, Josh Parenteau, Vi Shaffer INB4. Industry Breakfast: Insurance Professionals Networking Breakfast Kimberly Harris-Ferrante, Carlie J. Idoine 8:00 a.m. K3. Guest Keynote The Art of Business Influence Mark Jeffries, Advisor and Communications Consultant 9:30 a.m. A3. Maverick Research: Ethics of Analytics Frank Buytendijk B3. Harnessing the Power of Big Data and Analytics in the Insurance Industry Kimberly Harris-Ferrante 9:30 a.m. W4. Linking Operational and Financial Planning Throughout the Enterprise Christopher Iervolino, John E. Van Decker 10:30 a.m. Solution Provider Sessions 11:45 a.m. Attendee Lunch and Solution Showcase Dessert Reception 1:45 p.m. A4. To the Point: Clever Ways to Grow Analytics Skills Carol Rozwell B4. To the Point: How to Explain to the Business What Big Data Analytics Enables Svetlana Sicular C3. Social Media Analytics Role in Differentiating the Customer Experience Jenny Sussin C4. To the Point: In-Memory Analytics A Trend You Should Not Ignore Roxane Edjlali 1:45 p.m. W5. How to Craft an Analytics Strategy Ian A. Bertram Super Roundtable Sessions 2:30 p.m. A5. To the Point: Finding Success With Your Consultant Alex Soejarto 3:15 p.m. Solution Provider Sessions 4:30 p.m. A6. Information and Analysis: The Music of Business Performance Bill Hostmann 5:30 p.m. Hospitality Suites B5. To the Point: Using Analytics to Turn Information Into Insight Carol Rozwell, Jenny Sussin B6. Finding Business Opportunity When the Sky Is Falling: The Analytics of U.S. Healthcare Reform Vi Shaffer C5. To the Point: Where Are You on the Big Data Maturity Road Map? Svetlana Sicular C6. Quantified Self and the Rise of Personal Analytics Gareth Herschel D3. Business Analytics 2020 Market Trends Dan Sommer D4. To the Point: All Roads Lead to Prescriptive Analytics Lisa Kart D5. To the Point: Ten Best and Worst Practices for Real- Time Analytics W. Roy Schulte D6. The Seven Dimensions of Context-Aware Security Analytics Avivah Litan E3. Agile BI Is Not the Same as Agile Development Mark A. Beyer E4. To the Point: Business Analytics in the Cloud BI Heaven or Too Good to Be True? Joao Tapadinhas E5. To the Point: Open Sesame! Opening Up Your Linked Data to the World Douglas Laney E6. Data Quality Assurance in the Age of Big Data: Why and How Ted Friedman F3. Case Study Tom Austin F4. To the Point: New Approaches to Provisioning Data for BI and Analytics via Data Federation/Data Virtualization Ted Friedman F5. To the Point: Five Information Governance Best Practices for Increasing the Value of BI and Analytics Ted Friedman F6. Case Study Nick Heudecker Wednesday APRIL 2 7:00 a.m. Registration Networking Breakfast INB5. Industry Breakfast: Marketing Professionals Office of the CMO Gareth Herschel, Carol Rozwell, Jenny Sussin INB6. Industry Breakfast: Data Scientists Networking Breakfast Lisa Kart, Douglas Laney, Alexander Linden 8:00 a.m. A7. Engaging Your CMO in Business Analytics Gareth Herschel 8:00 a.m. W6. The Super Skills of the Socially Centered Leader Debra Logan, Carol Rozwell 9:00 a.m. Solution Provider Sessions 9:45 a.m. Solution Provider Sessions 10:45 a.m. K4. Guest Keynote Ray Kurzweil, Inventor, Entrepreneur, Author, Futurist, and of Engineering, Google 11:45 a.m. Attendee Lunch and Solution Showcase Dessert Reception 1:15 p.m. A8. BICC 2.0 or the Analytics Center of Excellence Neil Chandler B7. Last Call for Datatopia Frank Buytendijk C7. Hadoop: An Introduction Nick Heudecker D7. Key Trends and Emerging Technologies in Advanced Analytics Alexander Linden B8. Applied Infonomics: How and Why to Become an Infocentric Organization Douglas Laney 1:15 p.m. W7. Keeping Bad Guys Out of Your Accounts Using Five Layers of Fraud Prevention Avivah Litan 2:15 p.m. A9. To the Point: Marketing Your BI and Analytics Program Neil Chandler 3:00 p.m. A10. To the Point: Surviving 90% Unemployment as Technology Replaces Jobs and Impacts Business, IT, People and Society Dan Sommer C8. Industrial Analytics: The Next Wave of Business Transformation Rita L. Sallam 3:45 p.m. K5. Gartner Closing Keynote Using Analytics to Transform Your Business Model Moderator: Kurt Schlegel; Kelly Shen, CIO, GE Capital 4:30 p.m. Conference Adjourns C9. To the Point: Who s Who in Social Media Analytics Carol Rozwell, Jenny Sussin C10. To the Point: Big Data Strategy Essentials Douglas Laney D8. Applying Real-Time Analytics Within Business Operations W. Roy Schulte D9. To the Point: Sentiment Analysis Move Past Polarity, Turn Insight Into Action! Jamie Popkin D10. To the Point: Crowd Sorcery The Power of Connected Minds Svetlana Sicular E7. Interactive Visualization: Seeing Is Believing Rita L. Sallam E8. Serving Up Self-Service Carlie J. Idoine E9. To the Point: How to Get the Most Out of Magic Quadrant Research Josh Parenteau E10. To the Point: How Mobile BI Drives Adoption Joao Tapadinhas F7. Case Study Lisa Kart 8 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 9
Session descriptions KEYNOTES K1a. Gartner Opening Keynote: The Future of Your Business Transparent, Decisive, Personalized The impact of analytics on business, society and our own personal lifestyles has been greater than anyone could have imagined. Transparent organizations have strengthened business relationships and created new revenue opportunities by making information available to customers, partners and suppliers. Advances in cognitive computing and predictive analytics have made information systems more decisive, enabling businesses to optimize millions of daily decisions. And the next phase is upon us, where personal analytics start to challenge existing business models by collecting precise data using social media monitoring and real-time sensors to personalize every customer experience. But as capabilities are stretched, how far is too far? When are targeted offers too personal? When do we need more human involvement in the algorithms making our decisions? How will you seize the opportunity, while mitigating the risks? Frank Buytendijk, Rita L. Sallam, Kurt Schlegel K1b. Gartner Keynote: Welcome Remarks Kurt Schlegel K2. Gartner Keynote: The Gartner Magic Quadrant Panel BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics The markets for BI platforms, advanced analytics, DBMS for data warehousing, and BI and analytics service providers are highly dynamic with significant complexity for buyers. Gartner Magic Quadrants are a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market s competitors. This is your chance to hear Gartner analysts at their best unbiased, unscripted and unfiltered. It is also your chance to ask the questions that will help you with your investments. Ian A. Bertram, Mark A. Beyer, Gareth Herschel, Rita L. Sallam, Alex Soejarto K3. Guest Keynote: The Art of Business Influence Mark Jeffries presents a practical toolbox of innovative communication, networking and influence tools designed to give you a smart, proven, communication-based approach to the challenges you face every day with your project sponsors, colleagues and within your teams. From networking to negotiation, from the power of words to the behaviors of the trusted advisor, Mark presents a practical and entertaining session filled with valuable take-aways. Mark Jeffries, Advisor and Communications Consultant K4. Guest Keynote Ray Kurzweil, Inventor, Entrepreneur, Author, Futurist, and of Engineering, Google K5. Gartner Closing Keynote: Monetize Your Information Kurt Schlegel TRACK A Strategy and Leadership A1. Does Your Company Need a Chief Data Officer, Chief Digital Officer or Both? Information is the competitive differentiator for modern businesses, but this vital resource remains largely unexploited and even unmanaged in most companies. New roles relating to the management of information are proliferating and new kinds of information leaders are emerging. Does your company need a chief data officer or a chief digital officer, or both? What is the evidence that information is finally becoming a board-level priority? What do chief data officers and chief digital officers do, and what companies have them now? How can a new chief data officer and chief digital officer be successful? Debra Logan A2. Engaging Your CFO in Business Analytics The CFO is an IT decision maker. The latest Gartner Financial Executives International (FEI) CFO Technology Study shows how the CFO is favoring business analytics investments to improve enterprise performance. This session discusses how to educate and engage the CFO in these projects. How is the influence of CFOs changing? What are CFOs telling us about business analytics and corporate performance management (CPM) in the Gartner FEI study? How do you allow your CFO to become more strategic? Christopher Iervolino, John E. Van Decker A3. Maverick Research: Ethics of Analytics Welcome to the most dangerous presentation at the summit. We discuss good and bad, asking you to take a position. It s fun, engaging and practical, with examples and tools to prevent public embarrassment. Are you ready? Disclaimer: No business users or IT professionals were harmed during the making of this presentation. Why are ethics relevant no, crucial in IT? How can you organize a structured debate about ethics? Where do you stand on ethics? Frank Buytendijk A4. To the Point: Clever Ways to Grow Analytics Skills Clients report that their preferred approach to get the analytics skills they need for dealing with big data is to grow them organically. Does this make sense? Is it even possible? This presentation examines the new analytics skills organizations need and the efficacy of an organic development approach. What are the critical skills we need? How can we grow these skills? What can we do to plan for increasing demand? Carol Rozwell A5. To the Point: Finding Success With Your Consultant Consulting providers are often part of business analytics projects because of the need for a broad set of skills. Using best practices of sourcing and governance leads to successful execution of outsourced projects. What are Gartner best practices for sourcing services? How should governance impact consulting relationships? Alex Soejarto A6. Information and Analysis: The Music of Business Performance There are many parallels between the skillful analysis of information and the skillful performance of music. Both require high degrees of skill, organization/orchestration and collaboration. And like music, there are many types of analytic styles, each requiring different skills. Many practical leadership lessons and insights can be gained from examining and comparing the best practices (and flaws) in music performance and the analysis of information. Why are musical concepts like melody, rhythm and harmony important concepts for leaders of BI and analytics initiatives? Why is context important to both music and analytics? How can you develop and orchestrate multiple styles of analytical skills and performances? Bill Hostmann A7. Engaging Your CMO in Business Analytics Marketing can be one of the largest consumers of analytics in the organization, but often has the tendency to either ignore the value of analysis ( marketing is an art ) or to engage in its own, separate analytic initiatives. This session explains the best practices in customer analysis. What are the most important types of analysis for the marketing organization? How should marketing organizations get the most value from their analytic investments? What is the role of analytics in the key trends in customer relationships and experiences? Gareth Herschel 10 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 11
Session descriptions A8. BICC 2.0 or the Analytics Center of Excellence The scope and impact of business analytics has grown significantly to encompass more people, data and use cases. New competencies are needed to support, enable and extend the reach of analytics. Hear how the Analytics Center of Excellence (ACE) has emerged to accommodate these changes. Do I need an ACE? What competencies does my ACE require? Where should my ACE be located for maximum benefit? Neil Chandler A9. To the Point: Marketing Your BI and Analytics Program BI and analytics aren t like other areas of tech. They demand a higher degree of communications skill in order to evangelize the benefits, educate users and gain and retain adoption. However, many core BI teams lack the skills or experience in communications planning and marketing to do so. This session explains what you need. Why does BI need marketing? What are the elements of a communications plan? Neil Chandler A10. To the Point: Surviving 90% Unemployment as Technology Replaces Jobs and Impacts Business, IT, People and Society In this maverick session, CIOs learn why a black swan scenario of a rapid and persistent rise in unemployment may have a drastic impact on their mission and what they should be doing to prepare for it. What are smart machines and how will they change the workplace? What type of job roles will be most vulnerable? What are the long-term societal impacts of mass unemployment? Dan Sommer TRACK B The Business Case for Analytics B1. Cause and Effect: Determine the Value of Analytics Your blueprint for information advantage must include gaining the capabilities necessary to move from descriptive and diagnostic to predictive and prescriptive information. Principal among these capabilities is knowledge of cause and effect. This session describes how leading companies are using this knowledge to drive BI resources and capabilities. What is cause and effect in the context of BI? How do leading companies acquire knowledge of cause and effect? How does this knowledge drive BI resources and capabilities? Michael Smith B2. Customer Service Metrics: What, Why and How A recent Gartner survey indicated that one of the biggest areas of uncertainty for many organizations is how to measure customer service delivery. This session discusses how to use metrics to drive better customer experiences, as well as the risks that poor use of metrics can have on customer service interactions. What are the key customer service metrics organizations should be tracking and why? What are best practices for collecting and using customer service metrics? Gareth Herschel B3. Harnessing the Power of Big Data and Analytics in the Insurance Industry P&C and life insurers are in an era where having real-time analytics is a competitive advantage. However, many companies still are unclear of the opportunities that big data and analytics can offer them. This presentation reviews the best use cases for data mastery in insurance and presents attendees with steps to effectively use data to improve business performance. What are the opportunities for big data and analytics within the insurance industry? How are industry leaders leveraging these trends for competitive advantage? What are the main requirements for data success in the next three years within the insurance industry? Kimberly Harris-Ferrante B4. To the Point: How to Explain to the Business What Big Data Analytics Enables Great opportunity can be seized by using big data analytics and the big ideas that come along with it. Analytics professionals must guide the business into thinking broadly about key big data concepts, so that businesspeople will understand how big data impacts their enterprise, industry or sector, and how to develop a strategy to capitalize on these new opportunities. How can organizations seize the business opportunities that come from the interconnectedness and scale of big data sources? What are the Internet of People, the Internet of Things, the Internet of Data and the Internet of Ideas? What are the action items to enable big data analytics? Svetlana Sicular B5. To the Point: Using Analytics to Turn Information Into Insight Analytics offers new insight, but with each opportunity comes a potential downside. In this To the Point session, we examine four examples of where analytics adds value and how to use analytic tools successfully. What new insight do analytics tools offer? What do you need to know about using analytics tools successfully? Carol Rozwell, Jenny Sussin B6. Finding Business Opportunity When the Sky Is Falling: The Analytics of U.S. Healthcare Reform The $1.7 trillion U.S. healthcare market is undergoing its most fundamental change in at least 50 years. Analytics is playing a key role in that transformation, and will be a key differentiator between those that thrive and those that fade in obsolescence. Every industry can learn from the key strategic and tactical best practices that have emerged in healthcare analytics. What did the passage of healthcare reform mean for healthcare analytics? What are some key areas of opportunity where healthcare organizations have capitalized on analytics? What can other industries learn about capitalizing on analytics in a turbulent market? Vi Shaffer B7. Last Call for Datatopia Strategy is dead. The world is unpredictable and plans are outdated before they are implemented. Scenario planning should be rediscovered as a major strategic capability. We asked a very imaginative group of people including you! how they envision the (distant) future of information innovation. Fun, imaginative, and perhaps a bit controversial. What is scenario planning and why is it important? Which datatopia scenarios can we imagine, and how do they play out? What do we need to do now to arrive at our preferred scenario? Frank Buytendijk B8. Applied Infonomics: How and Why to Become an Infocentric Organization Leading organizations are making strides to embrace information s role as a real, income-generating asset, not just a resource or business byproduct. Attitudinal, behavioral, managerial, financial and technical adjustments are needed to become truly infocentric. What evidence is there of information s role as a key business asset? How can you measure and improve information s realized value? How can you overcome barriers to information asset management? Douglas Laney TRACK C Big Data C1. Big Data and the Analytic Art of the Possible Cutting through big data hype to realize business value continues to be a significant challenge that is defined by and realized through analytics. The right data foundation 12 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 13
Session descriptions in the era of Hadoop extensions to existing data strategies is critical. Understanding what today s big data technologies can offer and what they can t is essential. Is big data just hype? Just how mature are the new technologies? What are the key elements of a functional stack for big data, and where can they be found? Which tools offer competitive BI functionality against big data, and where can they be best applied? Merv Adrian C2. What About the Data Warehouse? Start? Stop? Continue? With big data changing the landscape, organizations building their information infrastructure to support their analytical needs are asking the question: What about the data warehouse? It is becoming increasingly important to understand exactly what the new landscape looks like if it is changing, then how fast? How do I focus on the business demands for data warehouse evolution? Is big data the end of the data warehouse? What architectural options do I have? Mark A. Beyer, Roxane Edjlali C3. Social Media Analytics Role in Differentiating the Customer Experience In an era where the customer is king and their expectation is immediate fulfillment, social media analytics are critical in gaining the market, demographic and individual insights needed to craft superior customer experiences. In this session, we review the role of your people, processes and technologies in using social media analytics to differentiate your customers experience. What are the use cases of social media analytics that impact a customer s experience? How do we develop our people and our processes to support the use of social media analytics to create a differentiated customer experience? What should we look for in technologies to help us support our social media analytics and customer experience initiative? Jenny Sussin C4. To the Point: In-Memory Analytics: A Trend You Should Not Ignore In-memory databases are changing the data management landscape and affecting the way you should think about analytics and information infrastructure. What are the business drivers for inmemory computing? Will combining transactional processing and analytics transform your business intelligence? Who are the vendors and what is the maturity of the technology? Roxane Edjlali C5. To the Point: Where Are You on the Big Data Maturity Road Map? Companies adopting big data solutions are unsure of what to expect and when to expect it. They want to know where they are and how to move forward. The Gartner road map will help you to develop a big data strategy as it outlines typical stages and milestones of big data adoption, from initiation to a data-driven enterprise. What are the typical stages and milestones of big data adoption? Which big data myths and fallacies derail big data projects? How can you develop and expand big data initiatives? Svetlana Sicular C6. Quantified Self and the Rise of Personal Analytics The ability of personal devices to track and communicate every aspect of our behavior and physical state creates a huge opportunity for better understanding of customers, citizens and patients by organizations and themselves. How organizations respond to this opportunity will be critical to their success. What s driving the adoption of personal analytics and why is it important? How is the data being captured and analyzed? How do these benefit an enterprise and how can you use the data successfully? Gareth Herschel C7. Hadoop: An Introduction Has Hadoop hype got you scrambling to keep up? Looking for a basic introduction that sorts out what s ready to use today and what s still on the Silicon Valley whiteboards? This session gives the basic grounding you need to have a conversation with your organization s big data advocates. What is Hadoop and how does it differ from traditional technologies? Which vendors offer robust Hadoop solutions and how can you evaluate them? Which deployment approaches are best to get started? Nick Heudecker C8. Industrial Analytics: The Next Wave of Business Transformation In the next decade, pervasive adoption of intelligent sensor-based analytics in industrial sectors will result in greater industry transformation than data and analyticscentric, consumer-oriented organizations achieved over the past decade. This presentation highlights key trends and use cases in industrial analytics, an analytics maturity model mapped to OT/IT convergence, best practices and key challenges. What are the key trends, major opportunities and challenges in industrial analytics? What are the components of an industrial analytics framework and maturity model? How will business practices and decisionmaking processes change? Rita L. Sallam C9. To the Point: Who s Who in Social Media Analytics As an emerging market, the social media analytics space is teeming with small point solutions and large business intelligence solutions, all competing for your business. In this session, we discuss how to delineate between vendors and areas of specialization for vendors in the social media analytics space. What are the primary differences between vendors in the social media analytics space? What types of specialty vendors exist for social media analytics? Carol Rozwell, Jenny Sussin C10. To the Point: Big Data Strategy Essentials A heightened interest in big data, coupled with a limited appreciation of its challenges, creates an information strategy gap that introduces tremendous risk for enterprises. On one hand, companies are at risk of over-investing in big data before they are prepared to execute on it. On the other hand, they are at risk of under-investing in it and ceding competitive advantage. What are the range of IT-related big data challenges and key components to mitigate them? What are the big data issues that business leaders must be aware of and accommodate? How can you gauge the completeness of your big data strategy and readiness to embark on an enterprise big data initiative? Douglas Laney 14 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 15
Session descriptions TRACK D Advanced Analytics D1. The Rise of the Smart Machines: Their Technical, Business, Economic and Social Impacts Smart machines, which do what we thought only people could do, are the next great disruption. They include conversational assistants, like Google Now, that will know how you work, understand written content and images, and proactively make recommendations based on your actions. There s IBM s Watson, which can help clinicians keep up with medical literature and suggest courses of action; software that writes sports stories from box scores and grades college-level essay questions; robotic attendants that learn from, monitor and assist the handicapped; and cars and trucks that drive themselves. Exploit the enterprise s deep domainspecific knowledge with the unexpectedly strong capabilities of Watson or Watsonlike technologies to establisha first mover advantage in their industry Enhance executives decision making via advanced analytic assistants Augment or replace legions of knowledge workers with cognitive assistants Tom Austin D2. Google, Apple Siri, and IBM Watson Natural Language Question Answering in Your Enterprise Question answering (QA) systems, such as Watson or Siri, can answer user questions posed by either voice or text. Task services and cognitive systems are stretching the boundaries of machine-based information processing systems and are offering improved business value. This presentation is intended as a companion to session D1., with a more technology-specific focus. What is a natural language question answering (NLQA) system, and what are the types of problems that would benefit from NLQA capabilities? What types of NLQA systems are commercially available, and how do they map to a NLQA reference architecture? What are the NLQA technology future trends? Jamie Popkin D3. Business Analytics 2020 Market Trends Based on a rich foundation of fact-based market research, this presentation provides a market model that lays out the triggers toward analytics on all sources, at the point of decision. By 2020, the scope, use cases, buying centers, delivery models and vendor landscape will look radically different. What will be the market movers for BI and analytics to reach pervasive usage? Which vendors are well-positioned to lead and win in the market? When will hyped technology triggers reach market maturity? Dan Sommer D4. To the Point: All Roads Lead to Prescriptive Analytics All analytics aim to leverage data to make better decisions, yet there are many different paths to getting there. Learn about the options and some key suggestions for getting started. Lisa Kart D5. To the Point: Ten Best and Worst Practices for Real-Time Analytics Real-time operational intelligence systems and dashboards provide businesspeople with situation awareness and alerts on anomalies, threats and opportunities. This leads to faster and better decisions, but only if companies avoid information glut, alert fatigue and other design errors. What are five best practices for turning real-time data into actionable insights? What are the five most common mistakes in real-time analytics? W. Roy Schulte D6. The Seven Dimensions of Context- Aware Security Analytics This session explains the benefits of context-aware security and the analytics that drive it. It explores how to use the seven dimensions of context-aware computing to mitigate damage from largely invisible security threats. It also delves into organizational and process considerations, as well as the business and IT risks. What are the seven dimensions of context-aware security analytics? How do organizations use contextaware security? What are the business and IT impacts and risks? Avivah Litan D7. Key Trends and Emerging Technologies in Advanced Analytics This session provides an overview of key trends with some examples from the cutting edge, where we discuss new developments in predictive analytics, crowdsourcing and deep learning. What are some of the key trends in data science? What is happening at the cutting edge? What challenges do organizations face and how can they address them? Alexander Linden D8. Applying Real-Time Analytics Within Business Operations Companies are doing more BI and analytics in real time, as an integral part of the business processes and transactional systems that run their day-to-day operations. The BI, advanced analytics and business process management (BPM) disciplines must work together to operationalize analytics. How does operational intelligence differ from traditional BI and offline analytics? Right-time analytics when does it need to be real-time? What tools are used for monitoring, alerting and adaptive decision management? W. Roy Schulte D9. To the Point: Crowd Sorcery The Power of Connected Minds The Internet of Ideas is about the power of connected minds and diverse viewpoints. It involves crowdsourcing, crowdfunding and knowledge sharing. It underlies abilities to formulate questions and find answers by reaching large number of people, to gather ideas from the outside sources, to prove ideas by involving external workers, and to get the job done by finding the right skills externally. What is the Internet of Ideas? What does crowdsourcing enable? Why treat crowdsourcing as an analytical and business solution? Svetlana Sicular D10. To the Point: Sentiment Analysis Move Past Polarity, Turn Insight Into Action! Detecting polarity is not the only application of sentiment analysis. It can be used to detect a rich set of emotions and intentions that go well beyond positive/negative. This presentation explores the insight that IT can provide to end users for developing sentiment analysis applications. What is sentiment analysis? How can IT quantify the value and justify the cost of sentiment analysis? How can IT enable citizen developers? Jamie Popkin TRACK E Jump-Start Your Analytics Initiative E1. The Top 5 Wrong Assumptions About Business Analytics The findings from Gartner s business analytics in the enterprise field research report challenge many of the key assumptions that have traditionally guided business analytics. This session summarizes what works, identifies gaps and shares proven techniques for better leveraging your business analytics investment. What are the common assumptions about business analytics and why are they wrong? What are the key pillars for successful business analytics programs? What other dimensions need to be considered and why? Carlie J. Idoine E2. The Disruptive Impact of Data Discovery Data discovery has gone from being seen as a nuisance to an enabler for spreading analytics to a broader audience. Love it or hate it, it s changing the way we consume information and is reshaping the BI market. With BI leaders facing increasing demand for a more agile BI and greater user autonomy, it s time to deploy data discovery. Why is data discovery disruptive? How do the vendors compare, and how does it impact your BI initiative? 16 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 17
Session descriptions What are the best practices for deployment and governance? Dan Sommer, Joao Tapadinhas E3. Agile BI Is Not the Same as Agile Development With exaggerated claims of agility, agile development advocates have once again taken the stage in BI and data warehousing. Agile development is about speeding up the delivery for focused scope and specific business process support. It is therefore largely an anathema to BI and data warehouse practices, which are focused on breaking down business process silos. Agile techniques can certainly be adopted in BI and data warehousing. In this session, we outline what is in and what is out when it comes to mixing agile development with agile BI. What is agile BI? What is agile development and why doesn t it work with BI? Mark A. Beyer, Roxane Edjlali E4. To the Point: Business Analytics in the Cloud BI Heaven or Too Good to Be True? Cloud business analytics offers the promise of quicker time to information, performance, scalability and lower TCO, with just a fraction of the current effort to support on-premises solutions. With your feet on the ground and no hype, learn the real benefits and pitfalls of cloud BI. Is the cloud a real alternative to onpremises BI solutions? How can organizations gain competitive advantage through cloud BI? What are the best practices to avoid pitfalls and leverage benefits? Joao Tapadinhas What are some of the new practices and approaches that can be adopted to reduce this chaos? Douglas Laney E6. Data Quality Assurance In the Age of Big Data: Why and How Changes in the types of data being consumed and analytic applications being deployed are driving new and significant data quality challenges. While use and capability of technology is evolving, you must also engage the proper people, develop required skills and establish specific roles to achieving substantial progress in data quality improvement. How are data quality issues changing with big data and the evolution of analytics? What key data quality practices must organizations adopt? Where do data quality tools add value and how will the market evolve? Ted Friedman E7. Interactive Visualization: Seeing Is Believing Interactive visualization and data discovery have become BI market phenomena because they allow users to quickly gain insight and understanding from data that is not possible from traditional cross tab reports. This presentation shows attendees what s possible when using visualizations for different use cases and best practices. What capabilities and techniques define interactive visualization? How do the two main visually driven use cases in BI, for dashboards and analytics, differ? How do they overlap? How do you apply the tenets of good dashboard design? Rita L. Sallam E9. How to Get the Most Out of Magic Quadrant Research Magic Quadrant is still the most-searched term on gartner.com. It is a powerful methodology to understand technology markets and how the vendors relate to those markets. It helps you succeed with finding the right technologies. But there are pitfalls, too. How can you make use of the Gartner Magic Quadrant? How can you use associated research, such as the customer reference survey? Josh Parenteau E10. To the Point: How Mobile BI Drives Adoption With mobile devices becoming pervasive in organizations, and decisions being made on the road, in the warehouse, store or customer s offices, mobility becomes a priority for BI. Learn how to leverage mobile BI to target new BI audiences and improve business processes. Why should you care about mobile BI? What new capabilities are vendors offering? How can you go beyond basic mobilization of BI content? Joao Tapadinhas TRACK F Practitioner s Corner F1. Case Study F2. Case Study What is data federation and virtualization? How can this approach to data integration benefit BI and analytics initiatives? What are some of the challenges and risks of deploying such architectures? Ted Friedman F5. To the Point: Open Sesame! Opening Up Your Linked Data to the World Open data is proving to be a great source of innovation business innovation, by sharing information as a competitive differentiator (an area in which public sector is pioneering), and technology innovation, through the emergence of linked data standards, such as RDF and SparQL. Ted Friedman F6. Case Study F7. Case Study Tutorials T1. The Fundamentals of a BI and Analytics Platform Organizations need to understand the basics of BI to ensure they re using the right tools and techniques to support decision making. This session explains the fundamentals of BI E5. To the Point: Five Information Governance Best Practices For Increasing the Value of BI and Analytics Organizations continue to struggle with conflicting reports, shadow analytics systems and issues in data quality. By following five best practices, they can cut through this chaos and increase the consistency and perception of BI in the enterprise. Why do organizations spend so much time and money working around ITdelivered BI capabilities? E8. Serving Up Self-Service There is significant hype around the concept of self-service BI. This presentation defines self-service BI, and explains what it is not, how it fits into the end-to-end BI process and the technologies included. In addition, it provides guidance for introducing selfservice into an existing BI environment. Carlie J. Idoine F3. Case Study F4. To the Point: New Approaches to Provisioning Data For BI and Analytics via Data Federation/Data Virtualization The infrastructure for delivering data in support of analytics continues to evolve, and data federation/virtualization will play an increasingly important role. Organizations should consider several specific use cases where they can derive value now. 18 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 19
Session descriptions and business analytics as it increasingly becomes a driver of business performance and transformation. What is BI and analytics? Which capabilities make up a BI and analytics platform? Josh Parenteau T2. Understanding the Analytics Spectrum Organizations know there is value in analytics, but struggle with understanding the different analytic capabilities they can leverage and when to use them. How do analytic capabilities support decisions? How are analytic capabilities used? How do I use these capabilities to become a more analytically mature organization? Lisa Kart T3. Fundamentals of Corporate Performance Management Corporate performance management (CPM) should be a priority initiative for CFOs. This session defines the components of CPM and explains how these solutions support critical office of finance processes and enhance strategic performance management capabilities. Christopher Iervolino, John E. Van Decker T4. Data Science Tutorial Business and IT leaders learn how the basic principles of data science work: e.g., decision trees, regression, neural nets and clustering. We also discuss some use cases and how to overcome the challenges to solve them. How do computers learn and what are the major business use cases? How can you overcome the main challenges? How can you get started? Alexander Linden Workshops W1. The Analytics of Collaborative Healthcare Models Healthcare payers and providers are welcome to join this workshop and discuss early experiences and questions about the analytics required to support new healthcare payment models, such as Accountable Care Organizations, Patient- Centered Medical Homes, bundled payments, and so on. We discuss what has been effective and what has not, experiences with various vendors in the space, and best next steps in the evolution of this market. Jeff Cribbs W2. Gauging and Improving Your Information Maturity As organizations struggle to manage and leverage their increasing wealth of information assets, a yardstick and road map can be indispensable. From architecture and integration to analytics and culture, attendees gain an understanding of the full range of information-related capabilities and explore the Gartner Information Maturity Model (IMM). Douglas Laney W3. Building a Metrics Framework What is a metrics framework and why is it so important to your BI efforts? What are the guiding principles for building a metrics framework? Who needs to be involved with metrics selection? How do we use the metrics to improve business performance? Michael Smith W4. Linking Operational and Financial Planning Throughout the Enterprise Strategic financial planning is often conducted in an isolated a manner within the office of finance. This session provides practical guidance for more comprehensive, organization-wide planning. Why are strategic financial and operational planning processes disconnected? How can the CFO make strategic financial plans more agile? How is technology enabling more comprehensive planning processes? Christopher Iervolino, John E. Van Decker W5. How to Craft an Analytics Strategy Organizations understand the importance of developing a business analytics strategy, but often encounter challenges in some areas. This workshop discusses the components of a business analytics strategy and enables attendees to discuss specific challenges with peers and understand potential ways to overcome these challenges. Ian A. Bertram W6. The Super Skills of the Socially Centered Leader Employee engagement and trust are key to company success. Only socially centered leaders can engender the employee engagement that is essential for sustained enterprise success. These leadership skills are based on principles from several disciplines, including cognitive psychology and neuroscience. Activity No. 1: Identify your three leadership centers Activity No. 2: Emotion as information Activity No. 3: Craft a balanced and engaging change request Debra Logan, Carol Rozwell W7. Keeping Bad Guys Out of Your Accounts Using Five Layers of Fraud Prevention This session looks at internal and external threats to the enterprise and how criminals are circumventing common solutions in place today. It delves into five layers of fraud prevention and the analytics needed to mitigate these threats, and prevent account takeover and new account fraud. What are the trends in fraud attacks? What are the best practices for layered fraud prevention? What changes are needed here with mobile applications? Avivah Litan Analyst-User Roundtables AUR1. AUR2. Understanding the Big Data Ecosystem A big data initiative represents a broad set of technology choices. Understanding how the components in the big data ecosystem interact is essential to developing effective solutions. Nick Heudecker AUR3. Impact of Consultants on Business Analytics Initiatives There is no shortage of consultants for all aspects of an analytics, big data or data warehousing project. Common issues exist in working with consultants to the successful conclusion of a project. This roundtable focuses on how to find the consultant for the job. Participants will share how they work with consultants and what issues they are trying to resolve. Alex Soejarto AUR4. SAP Hana You are already using or are considering using SAP Hana for one or many use cases, including analytical use cases, business suites or SAP BW. This analyst-user 20 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 21
Session descriptions roundtable allows you to discuss with peers the value and challenges you encountered. Roxane Edjlali AUR5. AUR6. Best Practices in Real-Time Analytics In this session, attendees will discuss best practices as well as common mistakes in real-time analytics. What technologies are required for best-in-class real-time analytics? Which organizational groups are best positioned to lead a real-time analytics initiative? W. Roy Schulte AUR7. Best Practices in Marketing Analytics Marketers are facing more pressure than ever to demonstrate return on marketing initiatives. In this analyst-user roundtable, attendees have the opportunity to connect with their peers and share approaches on proving marketing s impact on the business. Jenny Sussin AUR8. Defining and Measuring Business Value for Your BI and Analytics Initiatives Defining business value can be a challenge. A business value framework that Gartner has published, developed from researching how other organizations have addressed this same challenge, is provided. Come discuss your challenges and learn what works from others. Bill Hostmann AUR9. Lessons Learned from Deploying SAP BW Join peers to discuss the best practices in deploying SAP s Business Information Warehouse (BW). Which BI client works best against BW? How useful is the packaged content? What purpose does the Business Objects Universe have for BW? Kurt Schlegel Super Roundtable Sessions SR1. How to Apply and Use the Business Analytics Framework to Develop Your BI/Analytics Road Map Gartner has developed a framework for defining the combinations of people, processes and platforms at work within successful BI and analytics initiatives. Our discussion topic is on the use of the framework and how it might be applied in your organization. Bill Hostmann SR2. Lessons Learned in Building an Analytics Program in the Insurance Industry While analytics has been talked about for years, many insurers are still early in the journey to business-level success. This roundtable reviews lessons learned and best practices in building and applying analytics throughout the insurance enterprise. Kimberly Harris-Ferrante SR3. BICC Best Practices Attend this roundtable to discuss with peers best practices for implementing an Analytics Center of Excellence (ACE). Neil Chandler SR4. Content Analytics Best Practices Business analytics is increasingly focused on deriving a rich set of information from a diverse set of sources that includes structured data and content. Hybrid use cases based on content analytics are proliferating in user organizations, and a growing number of vendors are offering solutions to meet these new types of search and analytical needs. Jamie Popkin SR5. Deploying Analytics Into Healthcare Processes Vi Shaffer SR6. Selecting the Right Metrics This session explores key issues, including: What are the right metrics for your BI initiatives? How are metrics used in your enterprise? What are the challenges to metrics selection? How do you engage stakeholders in the metrics selection process? Michael Smith SR7. Impact of Consultants on Business Analytics Initiatives There is no shortage of consultants for all aspects of an analytics, big data or data warehousing project. Common issues exist in working with consultants to the successful conclusion of a project. This roundtable focuses on how to find the consultant for the job. Participants share how they work with consultants and what issues they are trying to resolve. Alex Soejarto SR8. Big Data for Advanced Practitioners Join this analyst-facilitated discussion of end-user organizations that have invested in big data to review best and worst practices. Merv Adrian SR9. Using Big Data Analytics to Solve Cybersecurity and Fraud Issues Attend this roundtable to network with peers about best practices in using big data analytics to improve security and manage fraud in your enterprise. Avivah Litan SR10. Best Practices in Financial Analytics Both office of finance and strategic corporate performance management (CPM) efforts benefit from more capable financial analytics. This roundtable discusses the impacts of the convergence of CPM and financial analytics. Christopher Iervolino SR11. The Quantified Self for Healthcare In 2013, we saw an explosion in hype about the quantified self, personal analytics, wearable computing, wellness apps and devices. But is there anything there? Will these technologies have a long-term impact on health? Are there business opportunities for healthcare payers, providers and the vendors who engage them? Jeff Cribbs SR12. Information Governance Programs: Best and Worst Practices Organizations struggle with issues around information governance. Deciding on the value of information, who owns the information, how long it should be retained, and what kind of technology is best applied to solve information governance issues all of these are difficult questions that require cross-organizational participation to answer. If you have ever been involved in a records management, archiving, ECM, or information management program, this roundtable gives you an opportunity to tell others what you have done, what you would do again and what to avoid at all costs. Debra Logan SR13. Best Practices in Real-Time Analytics In this roundtable, attendees discuss best practices as well as common mistakes in real-time analytics. Ian A. Bertram SR14. Exploiting Smart Machine Technology for Competitive Advantage Attendees focus on practical steps to take with current offerings, including smart advisor technology and natural language question answering systems based on systems like IBM Watson, virtual personal assistants such as Google Now, and bias-free natural language generating recommendation technologies, such as Narrative Science and Arria. Tom Austin 22 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 23
SOLUTION SHOWCASE Solution Showcase Premier Plus Sponsors Premier Sponsors IBM Big Data and Analytics solutions enables organizations to make fact based decisions anytime, anywhere. Whether using traditional analytics or adding big data to the equation, they can: - Leverage and govern all types of information from all time horizons - Empower people to explore, visualize and interact with information and collaborate with others - Optimize all types of decisions whether people driven or embedded in automated systems - Improve operations, manage risk, and ensure regulatory compliance. QlikTech (NASDAQ: QLIK) is a leader in Business Discovery user-driven Business Intelligence (BI). Its QlikView platform enables intuitive user-driven analysis that can be implemented in days or weeks rather than months or years. 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Domo transforms the way business is managed and drives more value from existing investments traditional enterprise systems by getting all the information business users care about, in one place. With a maniacal focus on the user experience, Domo s executive management platform solves universal pain points felt by CEOs, other managers and IT organizations for whom access to relevant data is often too cumbersome, too complex and too slow. Information Builders helps organizations transform data into business value. Our software solutions for business intelligence and analytics, integration, and data integrity empower people to make smarter decisions, strengthen customer relationships, and drive growth. Our dedication to customer success is unmatched in the industry. Visit informationbuilders.com and follow @infobldrs on Twitter. The Intel Distribution for Apache Hadoop software is the only distribution built from silicon up to enable the widest range of data analysis on Apache Hadoop. It is the first with hardware-enhanced performance and security capabilities. It is the only open source platform for big data with support from a Fortune 100 company. Intel is committed to developing a platform on which the entire ecosystem can build next-generation analytics solutions. Microsoft is the worldwide leader in software, services and solutions that help people and businesses realize their full potential. We believe anyone should be able to transform, analyze and share data on any device using familiar tools already used by a billion people Microsoft Office, Excel and SharePoint. Microsoft s modern data platform has the ability to unlock business insights from big data internal or external, relational or non-relational, structured or unstructured. Oracle engineers hardware and software to work together in the cloud and in your data center. With more than 390,000 customers including 100 of the Fortune 100 in more than 145 countries around the globe, Oracle is the only vendor able to offer a complete technology stack in which every layer is engineered to work together as a single system. For more information about Oracle (NYSE:ORCL), visit oracle.com. The leader in business analytics and the largest independent vendor in the business intelligence market, SAS specializes in deriving value from data of any size. SAS Visual Analytics is a BI platform combining high-performance in-memory technology with easy-to-use analytics, data visualization and reporting. It enables you to spot patterns from massive data volumes, identify opportunities for further analysis and share results via Web or mobile. SAS gives customers around the world THE POWER TO KNOW. Platinum Sponsors Silver Sponsors Alteryx, Inc. Altosoft, a Kofax company Ayasdi Inc. Balanced Insight, Inc. Birst Catalyst IT Services CDW Clear Peak Datameer Decisyon, Inc. Denodo Technologies Esri Excel4apps 1010data is the leading provider of big data discovery and data sharing solutions. It is used by hundreds of the world s largest retail, manufacturing, telecom, and financial services enterprises because of its proven ability to deliver actionable insight from very large amounts of data more quickly, easily and inexpensively than any other solution. Actian powers the action-driven enterprise in the Age of Data, delivering rapid time to analytic value with a modular approach to connect data assets behind the scenes, enable unconstrained analytics, and scale almost without limits. Actian s Big Data Analytics Platform helps organizations sustain competitive advantage by predicting the future, prescribing best actions, and discovering hidden risks and opportunities. Cisco Data Virtualization creates unprecedented levels of agility to enable better decision making in today s complex big data and cloud environments. Through a unified view of business data, we increase value from the network. The software enables you to adapt more quickly to business change in real time without physically moving data. Cloudera is redefining data management with its Platform for Big Data, empowering enterprises to gain rich, actionable insights from all their data to derive business value and competitive advantage. With hundreds of customers across diverse markets, Cloudera is the category leader that sets the standard for Hadoop in the enterprise. Our simple yet powerful software combined with Dell hardware and services provide scalable, integrated solutions to drive value and accelerate results. Whether it s Windows infrastructure, the cloud and mobile computing, or networks, databases and business intelligence, we dramatically reduce complexity and risk to unlock the power of IT. www.software.dell.com GoodData is the only cloud-based, end-to-end, business intelligence platform that lets you unlock the power of your sales, marketing, social, customer service and other key data, get fast answers to business-critical questions, and easily visualize and share the data you need to build a culture of innovation. Logi Analytics gives IT professionals the fastest way to create BI applications, deploy scalable dashboards and reports, and embed analytics into applications for far less than other solutions. Unlike traditional Business Intelligence platforms, Logi Analytics technology lets you rapidly develop, deploy, and adapt BI applications without extensive development or professional services. Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading worldwide provider of enterprise software platforms. The Company s mission is to provide the most flexible, powerful, scalable and user-friendly platforms for analytics, mobile, identity and loyalty, offered either on premises or in the cloud. To learn more, visit www.microstrategy.com. Prognoz delivers advanced analytics and visual discovery solutions for companies looking to improve business performance and drive innovation. From dashboards and reporting to time-series analysis, modeling and forecasting, Prognoz helps tackle big data and harness the information needed to make better decisions, predict future opportunities and take strategic actions. Pyramid Analytics delivers an enterprise business intelligence solution with the revolutionary concept of a Business Intelligence Office. A complete BI suite that gives every user the freedom to question with analytics from bioxl, answer with dashboards from biopoint, and act with reports from biowriter. Slalom Consulting brings together business and technology expertise to help companies drive enterprise performance, accelerate innovation and enhance the customer experience. Our Information Management and Analytics practice has worked with organizations in all phases of their analytics journey, helping them use data to drive business strategy and create lasting value. Teradata is the world s largest company focused on integrated data warehousing, big data analytics, and business applications. Our powerful solutions portfolio and database are the foundation on which we ve built our leadership position in business intelligence and are designed to address any business or technology need for companies of all sizes. Learn more at teradata.com. TIBCO Software Inc. is a provider of infrastructure software for companies to use on-premise, or as part of cloud computing environments. TIBCO Spotfire is the company s enterprise-class, hybrid-in-memory analytics platform. Spotfire s dashboards and analytic apps provide a fast and flexible environment for all users to quickly uncover trends, patterns, outliers and unanticipated relationships hidden in data. FICO Hadapt Hortonworks, Inc. Impetus Technologies, Inc. Infor Intellicus Technologies iolap, Inc. Jedox Kognitio LucidWorks MapR Technologies Neudesic Pentaho Pitney Bowes Platfora RDX Revolution Analytics SiSense Skytree, Inc. Splunk Strategy Companion Tableau Software Treasure Data YarcData Kiosk Sponsors DataRPM i4c Analytics LTD ivedix Looker 24 Gartner Business Intelligence & Analytics Summit 2014 25
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