A More Complex Example for MDM ROI (0)

9 March 2010 • Posted by Lawrence Dubov • Category: Business Process Management, MDM

Larry Dubov examines how to build a business case for MDM when facing a relatively complicated scenario. How do you justify MDM for marketing applications that may, on the surface, have a relatively low ROI?

Full Story»

Business Process Management»

The Future of MDM: MDM-Powered Applications (0)

The premise of MDM-powered applications is not new or controversial. The next generation of MDM will include business application front ends that provide data and information directly to the front line — business managers and decision makers — and deliver immediate value in terms of business data stewardship and real-time decision making.

Enterprise»

Should Stockholders Demand MDM? (0)

Bloggers often talk about the value of MDM in terms of customer data. MDM can create a single view of a customer which, in turn, provides a wealth of benefits, from decreased marketing costs to improved customer service. But how can MDM affect shareholders? Amar walks through the potential for Walgreens with their Duane Reade acquisition.

Government»

What You Missed: Demystifying Multi-Cultural Name Matching (1)

Our January 28 webinar, “Demystifying Multi-Cultural Name Matching in the Context of Entity Resolution,” drew quite a crowd, with attendees from various government agencies, systems integrators and consultants specializing in data quality and data governance issues. Download the replay to see what you missed.

Interoperable Health»

Connecting Community Physicians for Interoperability at OhioHealth (0)

With a vision to implement a connectivity strategy for EHR deployment, ePrescribing and interoperability with community physicians, OhioHealth wanted to secure its reputation as a leader and maintain physician and patient loyalty. At the same time, OhioHealth is looking ahead to ARRA funding and paving the way for meaningful use compliance.

MDM»

Hear Ye! Hear Ye! Declarations for Data Governance (4)

An organization embarking on data governance should produce several different declarations that guide how data is managed, prioritized and valued. Marty Moseley examines each of the different types of deliverables for a successful data governance program, including Principles, Policies, Processes, Business Rules and Metrics.

Recent Tweets