| | |
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
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 | |
| Big data and its associated tools will change the infrastructure of the EDW and require managers to examine how they manage data in the future. One thing is for sure – you will be supporting organization-wide use of MapReduce to support big data initiatives. You need to understand how this will affect your organization and change your data warehouse.
• What new tools will be used to support big data and why will they change the DW?
• What do MapReduce and Hadoop do and what infrastructure do they need? |
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? |
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? |
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
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 | |
| DW infrastructure is anything but dull. Gartner sees clients re-architecting server infrastructure from a Unix legacy to Linux X86 or Windows as an option. They then focus on sizing DBMS workloads and assessing the HA requirement. Increasingly, client are also reviewing virtualization for DBMS, not just for consolidation but also portability.
• What are the best practices for deploying ERP and DW infrastructure?
• How to modernize DBMS platforms for data warehousing?
• How does virtualization affect data warehouses? |