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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
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 | |
| 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 | |
| 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
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
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 | |
| 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 | |
| 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? |