We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Untitled Document

There are two kinds of organizations: those that have implemented a master data management (MDM) solution, and those that haven't but undoubtedly will in the near future. Despite where each organization may be in their MDM effort, what each have in common are questions about achieving better business processes. Companies planning an MDM implementation tend to have important questions regarding vendors, strategies and creating road maps to ensure success and a healthy return on investment. Fortunately, these companies can learn and benefit from the experiences of organizations that have pioneered MDM and organize their efforts around a common set of principles. For those organizations whose initial MDM efforts brought early success, the question is: how can the lessons learned be leveraged to drive more effective data governance across other lines of business and more elements of the system's infrastructure?



Some first-generation MDM adopters have been able to build on their initial implementations to address other important business problems. Observing these efforts, certain IT analysts and industry observers are beginning to publish articles laying out models for taking MDM implementations from the early planning stages through to mature, second- or third-generation stages. Many of these observers advocate an incremental approach, usually based on a particular data type or within a single system, such as a data warehouse. Others advocate targeting a single architectural style, such as a registry style, and then building on that implementation to address other styles, such as collaborative, transaction or hybrid.

The reasoning behind this type of approach follows a conservative "technology maturity curve" as a way to keep data governance requirements in check and the overall risk of failure as low as possible. These are legitimate concerns, and many organizations have been able to realize modest gains in solving their master data problems by following these precepts. However, limiting the scope of your initial MDM implementation is also likely to constrict the potential for greater success and return on investment down the road.

The true promise of MDM is that it enables the organization to create a single, clean and correct version of its most important reference data, and eliminate the business process inefficiencies that arise from conflicts in various data sources. This is why it is far more effective to organize MDM implementations around specific business problems such as compliance objectives, business process optimization, customer on-boarding, financial risk management and so forth.

-1-

1  2  3  4  

   Next Page

Explore Our Topics

  • EDITOR'S BRIEFING
  • Virtual Conferences
  • Webinars
  • Roundtables

BPM in Action

March 10, 2011

The sixth annual BPM in Action 2011 Virtual Conference will explore cutting-edge market developments in BPM and describe how to leverage them for improved business operation and performance. More

View All Virtual Conferences

Smart Case Management: Why It's So Smart.

Date:Nov 05, 2009
Time:12:00 PM ET- (17:00 GMT)

REGISTER TODAY!

Date:Oct 29, 2009
Time:15:00 PM ET- (19:00 GMT)

REGISTER TODAY!
View All Roundtables
  • Research Library
  • Podcasts
  • News

Joe McKendrick: Part II of II: Designing Evolve-ability into SOA and IT Systems

In part two of Joe McKendrick's recent podcast with Miko Matsumura, chief strategist for Software AG, they talk about how SOA and IT systems need to change and grow and adapt with the organization around it.

Listen Now

Phil Wainewright: Helping Brands Engage with Social Media

Phil Wainewright interviews David Vap, VP of products at RightNow Technologies, and finds out how sharing best practices can help businesses understand how best to engage with online communities.

Listen Now

Peter Schooff: Making Every IT Dollar Result in a Desired Business Outcome: Scott Hebner of IBM Rati

Scott Hebner, Vice President of Marketing and Strategy for IBM Rational, discusses a topic on the top of every company's mind today: getting the most from IT investments.

Listen Now

Jessica Ann Mola: Where Will BI Fit In? Lyndsay Wise Explains

In BI, this tough economy and the increasing role of Web 2.0 and MDM are certainly topics on people's minds today. WiseAnalytics' Lyndsay Wise addresses each of them in this informative podcast.

Listen Now

Dennis Byron: Talking with...Deepak Singh of BPM Provider Adeptia

Deepak Singh, President and CTO of Adeptia, joins ebizQ's Dennis Byron in a podcast that gets its hand around the trend of industry-specific BPM.

Listen Now
More Podcasts
  • Most Popular
  • Quick Guide
  • Most Discussed

Quick Guide: What is BPM?

Learn More

Quick Guide: What is Event Processing?

Smart event processing can help your company run smarter and faster. This comprehensive guide helps you research the basics of complex event processing (CEP) and learn how to get started on the right foot with your CEP project using EDA, RFID, SOA, SCADA and other relevant technologies. Learn More

Quick Guide: What is Enterprise 2.0?

A lot of people are talking about Enterprise 2.0 as being the business application of Web 2.0 technology. However, there's still some debate on exactly what this technology entails, how it applies to today's business models, and which components bring true value. Some use the term Enterprise 2.0 exclusively to describe the use of social networking technologies in the enterprise, while others use it to describe a web economy platform, or the technological framework behind such a platform. Still others say that Enterprise 2.0 is all of these things. Learn More