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Thursday
15:00 - 16:00 | |
| So you think your organization needs to adopt MDM, but you don't know where to start. The business case is not obvious, 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 does MDM most likely appear?
• How can you identify when and where MDM might be applicable for your organization?
• How can you evaluate if you are ready to start MDM? |
Thursday
15:00 - 16:00 | |
| More organizations are taking their first, second and additional steps with MDM. The Gartner Maturity Model for MDM can be used to determine your current position, and to figure out what you need to do next, in order to deliver more value to the business with MDM.
• How is MDM being adopted today, and what patterns have emerged from this work to date?
• Where and how can you use the Gartner MDM Maturity Model to develop your MDM program?
• How can MDM program managers manage their MDM programs for success? |
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 | |
| The MDM vision sets the scene for what needs to be achieved, and the MDM strategy details how this will be made a reality over time. We’ll look at how other organizations have created successful MDM programs and explore the five vectors of complexity that shape an organization’s MDM strategy.
• What should an MDM vision and strategy look like?
• How will the five vectors of MDM complexity shape your MDM strategy?
• What best practices can you use to create a successful MDM strategy? |
Thursday
17:15 - 18:15 | |
| MDM is one type of information governance program, and data quality is a critical starting point for governance of master data. Learn the key principles of data quality that all MDM programs must apply, and explore the state of the art in data quality assurance practices and technology.
• How can a focus on data quality help to bolster the business case for MDM?
• What are the current best and emerging practices for quality assurance of master data?
• What is the state of data quality technology, and how will the market evolve? |
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 | |
| MDM must be treated as a program and therefore funded as one. Business realities make this very difficult to achieve - specifically, political, organizational, and cultural barriers stand in the way. Navigating these issues is critical to gain the proper financial support.
• Why is it difficult to secure MDM funding?
• What are the typical funding approaches for MDM?
• How do you adapt your MDM road map to ensure its funding? |
Friday
08:00 - 08:30 | |
| Big data is seemingly influencing everything across the technology landscape, from data warehousing to analytics to content management. Admittedly, master data is a small dataset, but there are big data implications for MDM, and MDM implications for big data.
• What is big data?
• How does big data interact with MDM?
• Is there an imperative to apply MDM to big data? |
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 is not the end. Rather, it is just the beginning of Enterprise Information Management. We'll explore how organizations can evolve their MDM work toward broader information governance, and provide a framework to help you determine how your organization might further evolve its EIM program.
• What aspects of MDM can be reused beyond MDM?
• How are organizations looking to build on MDM with broader information governance programs?
• How can you develop your own EIM road map spanning master data and the information continuum?
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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 | |
| MDM is necessary for maintaining data quality, consistency, and integrity, but business executives require proof. This presentation explains how to measure the financial benefits made possible by MDM and how to build the business case for MDM initiatives.
• What is the process for building effective business cases for MDM initiatives?
• What metrics can be used to quantify the benefits of MDM initiatives?
• How can the business case be used to manage the project throughout its entire life cycle? |
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
14:15 - 15:15 | |
| As MDM shifts from an abstract discipline to a tangible program, governance has to appropriately expand. This broader scope still encompasses data stewardship aspects, but it also has to entail additional decision areas that ensure the value and sustainability of the MDM program.
• What should the scope of MDM program governance cover?
• What are the different implementation options of master data governance?
• What are the barriers to effective master data governance and how can they be overcome?
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Friday
14:15 - 15:15 | |
| We produce Magic Quadrants covering customer and product master data, but vendors market "Multidomain MDM." What are multiple domain, multidomain, and multivector MDM? Do all "multidomain" vendors offer the same thing? We will review the market, the two Magic Quadrants, and answer your questions.
• What are the trends and best practices in mastering customer data?
• What are the trends and best practices in mastering product data?
• What is the maturity of multidomain MDM capabilities, and how will that evolve? |
Friday
15:45 - 16:45 | |
| Some organizations are setting up new teams, others are re-fashioning existing teams. Either way, new roles, responsibilities and structures are still required. Identifying key resources, aligning them to a strategy, and evolving critical roles over time will enable long-term success with MDM.
• Why do people-related issues become the biggest challenges in MDM?
• What key roles must be formalized and how do they inter-relate?
• Which stakeholder management tactics are most effective? |
Friday
15:45 - 16:45 | |
| As more enterprises accomplish successful MDM implementations, best practice roadmaps through Gartner's MDM implementation styles are emerging. This session will cover typical roadmaps for MDM of both customer and product data, as well as their value to new and existing programs.
• What are Gartner's different MDM implementation styles?
• What progression through styles are organizations using to construct successful MDM roadmaps?
• How can organizations use these MDM roadmaps to deliver value throughout their implementations?
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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? |