| | |
Thursday
08:00 - 08:45 | |
| MDM programs need to align with the business vision and strike the right balance between technology, governance and organizational issues. Gartner’s Seven Building Blocks of MDM Framework is a business-driven framework that ensures that all the component parts of MDM are addressed.
• How will organizations create an MDM vision, strategy and business case?
• How will organizations address MDM governance and organizational challenges?
• How will organizations create the technology infrastructure necessary for MDM success? |
Thursday
14:15 - 15:45 | |
| A successful MDM program entails the complex orchestration of governance, organization, process, and technology infrastructure. Participants will combine MDM Summit concepts with their unique organizational needs to outline their MDM program, guiding their gap analysis and roadmap decisions.
• What decisions need to be made to start an MDM program?
• How should a program manager approach getting decisions made?
• What unique issues in my organization need to be taken into consideration? |
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 | |
| 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 | |
| Metadata management is a challenging but highly critical competency. Join this analyst-facilitated practitioner discussion exploring successful strategies and lessons learned for enabling metadata management in support of MDM. |
Thursday
17:15 - 18:15 | |
| Have you leveraged your BI dimensional and reporting data to kick off MDM? Does MDM make BI and data integration easier? Share your experiences in finding effective ways that BI implementations and MDM programs can work together. We begin with a real case study that went from BI to MDM to EIM; then everyone joins in. |
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 | |
| 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?
|
Friday
08:00 - 09:30 | |
| This workshop covers the MDM implementation styles, explains their differences, and provides clear decision logic for selecting the most appropriate MDM Implementation Style(s) for your own initiative.
• What are the differences between the MDM implementation styles?
• Which MDM implementation style is best for my MDM effort?
• How can I use multiple MDM implementation styles together? |
Friday
10:45 - 11:45 | |
| Many IT organizations struggle to convey the transformational business benefits that can be realized by the implementation of MDM across multiple data domains. Share ideas with your peers regarding the use cases and technologies that successful IT teams are employing to persuade their business partners to take MDM to the next level. |
Friday
10:45 - 11:45 | |
| Most organizations deal with a highly-complex, diverse and often overlapping landscape of information-related tools and technologies. Discuss with your peers how to begin rationalizing and modernizing that landscape in order to best support MDM and your broader information management goals. |
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
11:30 - 13:00 | |
| Vendors offer up different ways to create the master data model at the center of your MDM program. But which approaches are most appropriate? Working alongside peers, MDM practitioners will assess the various challenges and opportunities inherent in different approaches to modeling master data, and identify which are best for their organization. |
Friday
12:00 - 13:00 | |
| MDM is usually immature in organizations. SOA is generally equally less mature. Yet, SOA is one of the best approaches for integrating MDM into existing applications. Discuss with your peers how MDM demonstrates that data governance is independent of use case and applications and enables SOA. |
Friday
12:00 - 13:00 | |
| Master data and business process are inextricably linked, yet many organizations don't align their MDM and BPM efforts. This facilitated roundtable session will allow attendees to explore successful strategies and best practices for establishing a joint MDM/BPM approach that improves business outcomes and delivers measurable business value. |
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 | |
| MDM implementations require the collection, publishing, delivery and synchronization of master data: data integration needs. Discuss with your peers how to navigate the complex landscape of tools and architectures to make the best choices for your integration infrastructure in support of MDM. |
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 | |
| There are many reasons organizations engage external service providers for their MDM development and deployment. Such engagements represent a significant commitment that has to be properly formulated, initiated, and finally executed in order to be successful. |
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?
|
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? |