Survey results are released from time to time that estimate the effort required to implement cross-functional entity data solutions, such as master data management (MDM), customer data integration (CDI) or product information management (PIM) solutions. The effort estimates vary, but all indicate that solving data quality is as significant, if not more significant, than software and governance. A key to successful data quality improvement initiatives is the enlistment of a strong executive sponsor, who has either the direct authority or the power of influence to cut across organization boundaries. Let’s look at why you need an executive sponsor from the business to drive data quality enhancements.

Although entity data is occasionally created without human intervention (e.g., visits to a Web site can be tallied by user ID), the great majority of the data you will be rationalizing and maintaining will require people within your organization to do things differently or better. People are prone to making errors: they enter data incorrectly, don’t bother to enter data in fields not directly tied to what they are doing, they delay entering the data for long periods of time and use their own definitions and notations. Furthermore, as I have pointed out in previous columns, the data that humans add to their own systems may be adequate for the needs of their particular function, so they will have little interest in changing their practices to meet the needs of some centralized data effort.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access