Archive for February, 2010

Building a Framework for Data Trust

We’re at the point where business leaders are beginning to grok the value of data in achieving their organizational objectives, and with this comes the very real issue of trust in critical data. MDM has done a great job of shining a very bright light on data quality (and therefore trustworthiness), but we have to change our mental model of how to achieve higher levels of data quality.

Why Every Citizen Should Care About MDM

How can we avoid data privacy breaches with large government agencies? Clearly the answer is not just “better” technology or “smarter” employees. Rather, solid data governance can help. Designing a practical data governance would start with analyzing what are the “must not be allowed to happen” events for the institution.

What MDM Stakeholders Want to Know

At the very strategic level, the board of directors and CEO want to know how the equity value and market capitalization of the company change as a result of the MDM. Larry explores how to get stakeholders on board with your MDM initiative, and provides a list of questions to ask.

Four Steps to Achieving a Sustainable State-Wide HIE

State designated entities play a pivotal role in achieving the goals set forth in the national health IT agenda. States setting off on this journey can learn a lot from the states and regional HIEs who have been in the trenches. Through our experience, we’ve identified four steps to achieving a sustainable state-wide health information exchange.

When MDM is Driven by an IT Strategy

About 50% of MDM programs are driven by IT organizations as an IT strategy initiative. This scenario makes building an MDM business case more challenging since typically IT management cannot approach the business case problem with the same level of power and authority as business executive management in the business strategy driven MDM scenario.

Data Governance Principle #3: “Walk, Don’t Run”

Of the three principles of data governance, “Walk, Don’t Run” is the hardest because, frankly, very few organizations have a mature, sustained, operational and proven data governance program. And any organization that has gotten to that point has probably done so by taking more than a few wrong turns. But following four key tenets can help.