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Thursday
15:00 - 16:00 | |
| Master data management combines an enterprise view of consistent data governance with highly diverse implementation. Gartner's Information Capabilities Framework (ICF) asks the right questions to provide for consistent master data governance and diverse implementation.
• What is the ICF and its relationship to MDM?
• How does the ICF support all four MDM implementation styles and consistent governance?
• How can organizations establish and evolve MDM using existing tools and infrastructure? |
Thursday
17:15 - 18:15 | |
| Are you building an MDM solution to polish your data or are you trying to improve your business outcomes? Understanding the context, use and priority for data management is critical; a blanket deployment will not succeed. By taking a process-centric view, you will deliver what the business needs when it needs it. This session will show you how.
• What are the core challenges for MDM and Business Process Management (BPM)?
• How does MDM deliver value for BPM initiatives?
• How does BPM improve the odds for success for MDM programs? |
Friday
08:00 - 08:30 | |
| Unstructured data is a huge part of most business users' daily activities. As a result, content management needs the discipline of MDM as much as, or more than, the source of structured data. Learn how to tie the unstructured 80% of your enterprise information into your MDM plans.
• How can structured data and content be used together for business advantage?
• What is the current best practice around connecting MDM and content management?
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Friday
10:45 - 11:45 | |
| MDM initiatives are impossible to fund on their own, only as part of a business initiative. Applications are prime consumers of master data, so necessary MDM must be worked into an application strategy. This includes considerations for implementing ERP suites or pace layered application strategy.
• How do ERP and other large application suites make MDM harder, or easier, to do?
• How will pace layered application strategies change the situation?
• What are best practices for designing an MDM program for complex application landscapes? |
Friday
12:00 - 13:00 | |
| 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 and MDM.
• What is enterprise metadata management (EMM) and how does it support disciplines like EIM and MDM?
• How does EMM enable the Information Capabilities Framework?
• What are the available strategies for federation/consolidation across technologies? |
Friday
15:45 - 16:45 | |
| Dimensional data management and analysis, driven via a business intelligence (BI) initiative, is sometimes viewed as analytical MDM. This is merely one beginning point for operational MDM. We explain how that analytical starting point can be leveraged into a more proactive management style needed for operational systems.
• How are dimensions and hierarchies different from, yet similar to master data?
• How can BI data quality and integration work evolve toward more mature MDM?
• What do I do differently once MDM is in place relative to my analytical efforts? |