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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 - 15:15 | |
| This workshop will allow a group of IT leaders to work through classic problems around self-service BI including governance, user skill sets, and the age old battle between an organizational model that is too centralized versus one that is too decentralized. |
Tuesday
14:00 - 14:30 | |
| So you think your organization needs to adopt master data management (MDM), but you don't know where to begin. The business case is not obvious for MDM, and no one is listening to your calls for help. How do you go about figuring out when and if your organization is ready for MDM? Start here.
• Under what conditions is MDM most likely to appear?
• How can you identify when and where MDM is for your organization?
• How can you assess whether you and your team are ready to start MDM? |
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
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
15:45 - 16:15 | |
| Business today requires a full set of analytical capabilities focused on real time decision-making and forward looking analytics. This presentation will provide a structured roadmap for planning investments for developing analytical capabilities as part of the enterprise infrastructure.
• What role does business analytics play in the enterprise?
• How are business analytics needs transformed into technology solutions?
• How can the technical professional champion use the business analytics framework? |
Wednesday
08:30 - 09:00 | |
| DRAM is the new disk! Not only does in-memory computing (IMC) give a performance boost to analytics, but it also enables "unthinkable" applications, combining event processing, analysis and transactions. Leveraging IMC-disruptive innovation to improve efficiency and build defensible business advantage is an opportunity user organizations must not miss
• What is in-memory computing and how will it deliver business value?
• How will IMC technologies evolve to challenge traditional data management?
• How will user organizations take advantage of IMC? |
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
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 | |
| "Satisficing" is choosing the first solution that appears good enough rather than carefully identifying all possible options and determining which one is most consistent with the evidence. The participants will discuss various ways to avoid biases in framing a problem, formulating a hypothesis, selecting the right data and validating the insights. |
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
08:30 - 10:00 | |
| This workshop will help participants evaluate and compare costs and cost drivers across their BI platform technologies. The framework used will also artciulate the drivers of potential benefits. Attendees will learn how to use this approach to optimize vendor selection decisions. |
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? |