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Tuesday
09:00 - 10:00 | |
| Altered economic realities and business needs demand new information and analytical approaches. These new approaches must enable agility through the sharing and analysis of massive amounts of rich, novel information types. New use cases are arising that express an insatiable appetite for real-time and context-aware insights or that demand prediction and action, not just reporting and monitoring. These new demands challenge how enterprises govern and manage information, and will test their ability to best use these new insights, while exposing BI and analytics teams to dramatically different challenges and requirements. The key issues covered in this keynote presentation are:
• Why and how is information, its use and analysis changing so dramatically?
• What new challenges, trends and opportunities are emerging for BI and analytic leaders?
• How can organizations adapt to and harness new solutions? |
Tuesday
10:00 - 10:45 | |
| This session will ask thought leaders from leading vendors to share their thoughts on the key trends affecting the future of business intelligence and analytics and how these will impact organizations' plans. |
Tuesday
11:15 - 12:15 | |
| Statoil’s “Ambition to Action” model redefines performance using dynamic and relative targets, dynamic forecasting and resource allocation (and no traditional budgets). It moves the focus from calendar driven to event driven, to create a more self-regulating management model. How did the company arrive at this approach? This keynote explores Statoil’s experience and how “Beyond Budgeting” principles can be used to overcome the problems associated with traditional management approaches.
- Why is traditional management in serious trouble?
- What is Beyond Budgeting?
- How has Statoil changed its management model?
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Tuesday
12:15 - 12:30 | |
| This interactive plenary session will help you maximize your ability to connect, network and establish relationships in your career. Why does networking matter? Because it helps you solve problems, build your reputation and absorb best practice by tapping into informal networks. Is networking just for extraverts? Definitely not! This is a fast and dynamic session that will introduce you to a completely different approach to connecting with your peers and colleagues. |
Tuesday
14:00 - 14:30 | |
| The vast majority of BI deployments get stuck in the reporting stone age. While reporting will always be there, the real reason for BI is to make the future better by leveraging predictive models. This session shows how to get value from BI by supporting decision making through predictive analytics.
• What is predictive analytics?
• How does predictive analytics fit into the BI portfolio?
• What are scenarios of users predicting the future?
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Tuesday
15:45 - 16:15 | |
| Gartner conducted field research of 22 end-user organizations across various industries to find out about their successes and failures with big data projects. You will learn about the current state of big data adoption, and Gartner recommendations on the realistic strategy for big data analytics initiatives.
• What is the state of big data analytics adoption in the end-user organizations?
• What are the typical issues faced by big data projects?
• What are the key success factors of big data analytics? |
Tuesday
17:15 - 18:00 | |
| Gartner Magic Quadrants (MQ) 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 your chance to ask the questions that will help you with your investments in the areas of Data Warehousing, Data Integration and Master Data Management (MDM). |
Wednesday
08:30 - 09:00 | |
| Mobile BI tools are leveraging new and enhanced hardware capabilities provided by tablets and smartphones to augment business analytics. Understand how BI users’ expectations change once they become mobile. Learn what can be achieved, where and how it can be applied and who can benefit from it.
• Which are the new mobile BI capabilities?
• What changes in a "mobile ready" business analytics initiative?
• What impact will it have in organizations? |
Wednesday
10:00 - 11:00 | |
| Your organization makes investments that never seem to build on each other, and your business partners remain sceptical about the next, “new”, thing. This session introduces a new way in which to explain the value of information. We will demonstrate how your Information innovation yield curve behaves, and how to create better business outcomes.
• What is an information yield curve?
• How does your own information yield curve relate to how you manage information?
• What changes can you make in your IM investments to improve business outcomes? |
Wednesday
11:30 - 12:15 | |
| In this second Gartner Magic Quadrant (MQ) session analysts will cover three areas: data quality, BI platforms and corporate performance management (CPM). Do you want to know who the leaders, challengers, visionaries and niche players are in these markets and how the vendors are evolving? This session will tell you, and give you the chance to pose questions, get answers and hear Gartner analysts at their best — unbiased, unscripted and unfiltered. |
Wednesday
14:30 - 15:00 | |
| Most organizations shortsightedly focus on license costs alone when evaluating and comparing costs among vendors. Moreover, a cost assessment alone without a corresponding understanding of potential benefits will result in misguided vendor selection decisions.
• What are the key components of BI platform ownership costs and drivers
• How do vendors and vendor types compare?
• What are strategies for minimizing cost and maximizing benefits? |
Wednesday
15:15 - 16:15 | |
| Most associate the big data opportunity with large volumes only. However, companies will derive new sources of value from finding insights from combining content AND structured data to build new analytic applications that optimize customer interactions, productivity, innovation and growth.
• What is possible when finding new insights in diverse data?
• What are key technology and tools considerations?
• What are new organizational challenges and how to overcome? |
Wednesday
16:45 - 17:45 | |
| Symptoms of a major trend towards information-centric management thinking are everywhere. From the wall of noise about big data, to the chatter about the role of “data scientist”. We will look into what business leaders really expect, what they will do about it and how you can thrive on the changes ahead.
• What’s real and what’s hype in the rise of information-centric management thinking?
• How are CEOs thinking about this trend?
• What should BI professionals be doing to help their enterprises make real progress? |
Thursday
08:00 - 08:45 | |
| Interactive visualization applies users' innate visual ability to aid identification and understanding (of patterns, for example) in a much more effective way than tabulated figures ever can. This session outlines how this technology is best used and how to add it to your portfolio both for dashboards and ad hoc analysis. Why not see for yourself?
• What defines interactive visualization?
• How do the two main visually driven uses cases in BI, for dashboards and analytics, differ?
• How do you apply the tenets of good dashboard design? |
Thursday
09:00 - 10:00 | |
| Metadata provides the answers to the “who, what, where, when, why and how” questions about master data to promote understanding, consistency, compliance, sharing, and use. Here we explore the world of metadata and possible strategies for enabling EIM, data warehousing and BI.
• What is enterprise metadata management and how does it support DW?
• How does enterprise metadata management enable an Information Capabilities Framework?
• What are the types of metadata sources and strategies? |
Thursday
10:30 - 11:30 | |
| Most enterprises now have intentions to embark on a big data-related initiatives, or are doing so already, yet almost no organizations have an articulated approach for doing so. Big data initiatives are unique, not only in technology-related ways. This session will lay out over a dozen IT and business essentials of a big data strategy.
• How to ensure you are technically prepared for handling big data.
• What should the business be doing to plan for leveraging big data?
• What are organizational considerations for a big data strategy?
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Thursday
12:00 - 13:00 | |
| The human brain will adapt to whatever environment in which it is placed; the cyber world of the 21st Century constitutes a totally new type of environment; the brain could therefore be changing in parallel, in correspondingly totally new ways. In particular we need to devise new strategies for optimizing how we handle the increasing and unprecedented information load. We need first to establish a means for identifying salient facts from the extraneous; second, establish a conceptual framework within which this information can have wider significance, ie be converted into deeper knowledge; thirdly agree on a means for sharing this conceptual framework so that it can serve as a collective base for effective communication.
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