| | |
Tuesday
08:00 - 08:45 | |
| Analytics capabilities fall into three main categories: descriptive analytics answer “what happened?”; predictive answer “what will happen?”; and prescriptive answer “what is the best action to take?” Learn the types of analytics, when to use them, and how to get the most business value.
• What is the value of analytics?
• What analytics capabilities do I need?
• What does analytics success look like? |
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
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?
|
Wednesday
08:30 - 09:00 | |
| Why do marketing and BI organizations not work more closely together? Can data-driven marketing organizations survive on their own, sourcing solutions from the cloud? Some, maybe, but not the best ones. Attend this session to learn how leading organizations build partnerships to better analyze, predict and act.
• What is causing the rift between marketing and the BI organization?
• How does the marketing organization survive on their own?
• How can you create a win-win for both BI and marketing organizations? |
Wednesday
10:00 - 11:00 | |
| Many BI projects focus too much on providing information and not enough on improving the way in which decisions are made. At the same time, many executives refuse to exploit technology for decision making. This is set to change in the next five years as new developments in business analytics automate and improve the way business decisions are made.
• What are the flaws in the way business decisions are made?
• How is technology evolving to support better decision making?
• How will business practices and decision making processes change? |
Wednesday
14:30 - 15:00 | |
| As business analytics programs expand to encompass more people, more data, and more use cases, new competencies are needed to support, enable, and extend the reach of analytics. Hear how the Business Intelligence Competency Center (BICC) model is adjusting to accomodate these changes, and what the future of BICCs will look like.
• What limitations exist in today's model?
• What new competencies need to be fostered?
• What will new organizations look like? |
Wednesday
15:15 - 16:15 | |
| Good risk management informs better business decisions. Improperly managed risk can lead to business failures and poor business performance. To address this, enterprises need to integrate leading risk indicators (LRI), with leading performance indicators (LPIs) to gain insight on the activities and events that affect desired business outcomes.
• Why is managing operational risk still important to CEOs?
• How can we make risk management everyone’s responsibility?
• What is the process for integrating LRIs with LPIs? |
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 | |
| Companies trying to evolve from BI to advanced business analytics will fail to meet objectives if they invest in a platform, without defining the right solution architecture. The session with help you understand what new platform capabilities are available, to understand how people and processes will need to evolve, and to apply the Gartner Business Analytics Framework.
• What new platform capabilities are available to analyze, predict and act?
• Who are the new stakeholders and what roles will they play?
• How will processes need to evolve to support business analytics? |
Thursday
09:00 - 10:00 | |
| Real-time operational intelligence is not just visual data discovery, using spreadsheets or refreshing BI reports every few seconds or minutes. It is a unique discipline with particular goals, users, technologies and data. This session explores descriptive event management, prescriptive decision management and process flow management.
• What is the real-time role of BI, data discovery and predictive analytics?
• How should you use rule engines, workflow, BAM and related technologies?
• Where will the observe-orient-decide-act loop apply? |
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?
|