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Tuesday
08:00 - 08:45 | |
| 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 and business analytics as it increases as a driver of business performance and transformation.
• What is BI?
• What key capabilities make up a BI platform? |
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
13:45 - 14:45 | |
| In this interactive session, delegates from end-user organizations will learn from others' experiences with addressing data quality issues in support of BI and analytics initiatives. By sharing major challenges and barriers, as well as approaches and tactices, participants will gain real-world ideas to apply to their own situation. |
Tuesday
13:45 - 14:45 | |
| Many enterprises seek to make their operations smarter using real-time business dashboards, event processing, rule engines, predictive or other analytics. This interactive roundtable discussion will focus on best practices in getting subject matter experts from the business side to work with BI or business analytics teams. |
Tuesday
14:00 - 14:30 | |
| Governance of BI and analytics is an issue frequently cited by European firms. While having the necessary safeguards to monitor proper usage is a necessity, allowing enough freedom not to stifle the growth of analytics is critical to its succesful usage and value. This session will help you strike a balance between freedom and control.
• What are the common approaches to governance?
• What issues are most prevalent in Europe?
• How do you strike the right balance of governance? |
Tuesday
14:00 - 14:30 | |
| Finance users (like those in other domains) are demanding more analytics, and are increasingly likely to purchase these from their business application vendor without reference to IT. This session will explore the different types of analytics used by Finance, and how IT can make these part of a broader BI strategy.
• What types of analytics are used by the finance function?
• What is the relationship between financial analytics and ERP?
• How can IT balance the needs of finance users with a coherent BI strategy? |
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 | |
| This presentation describes a simple technique to simply communicate a business intelligence strategy to a business audience.
• What is the business objective of the BI program?
• Who in the organization will lead the BI program?
• How will various technologies and analytical capabilities be leveraged to accomplish this objective? |
Tuesday
15:45 - 16:15 | |
| Upon a rich foundation of fact-based market research, this presentation provides a market model, laying out the triggers towards analytics everywhere, on all souces, at the point of decision. Until 2020, the scope, use-cases, buying centres, 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? |
Tuesday
16:30 - 18:00 | |
| This workshop will help you to establish the role of an enterprise metrics framework within a performance management program. It does this by explaining what a metrics framework is, and more importantly, what it is not using practical, interactive examples of how a metrics framework is used in strategy development, business planning, budgeting and incentive compensation. |
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
08:30 - 09:00 | |
| Business analytics is the umbrella term supporting business intelligence, performance management and analytics. If you have come from a BI background or OLAP, Query and Reporting and ETL, then there is a whole new world of packaged solutions and applications awaiting your investigation.
• Are we on the same page?
• Are we using the same tools?
• Are we going in the same direction? |
Wednesday
08:30 - 10:00 | |
| The success of corporate performance management (CPM) endeavors related to planning, KPI creation and management, and the 'financial close' rely on effective project scoping and execution. This session will provide practical guidance for project design, staffing, risks, mitigating steps and remediations for projects in crisis. |
Wednesday
10:00 - 11:00 | |
| Digital marketers procure much of their technology externally, often outside IT guidelines. Limitations of this practice are felt when there is a need for predictive analysis or better analytic skills, or to integrate with internal data and drive action from the analysis. Join your peers to discuss the issues and exchange best practices. |
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
10:00 - 11:00 | |
| Customer analytics is one of the most common areas for the adoption of new analytic techniques. This session will describe the most important advanced analytical techniques that organizations are deploying for success across the sales, marketing, and customer service functions as well as some of the organizational considerations for success.
• What is the impact of analytics on customer experience?
• What is the business benefit of different types of customer analysis?
• What are best practices for organizational adoption of customer analysis? |
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
11:30 - 13:00 | |
| Customer analytics is critical to organizational success, but is one of the most difficult domains in which to establish an overall strategy rather than just a series of disconnected tactical projects. This workshop will provide a “worked example” of the type of workshops and deliverables your organization could undertake to establish a customer analytic strategy that aligns BI and analysis with the business strategy of the organization. |
Wednesday
14:00 - 15:00 | |
| This roundtable session will provide attendees with the opportunity to network and share best practices and current challenges in the area of predictive analytics. |
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? |
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
08:00 - 08:45 | |
| Business, technological and product change demands efforts focused on efficiency for systems of record, and competitive advantage for systems of differentiation and innovation. The Pace-Layered Application Strategy provides a sound framework which addresses both CPM financial processes and performance management efforts.
• How should you map CPM and financial analytics to the Gartner Pace-Layer methodology?
• How can you leverage CPM investments for higher pace layer value?
• How can you engage executives to improve CPM? |
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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