Having examined data management practices at more than 500 organizations, Peter Aiken, PhD, associate professor of information systems at Virginia Commonwealth University, has learned why two-thirds of information technology initiatives fail.

“Most get in trouble because they try to move too quickly,” he told attendees at Health Data Management’s Healthcare Analytics Symposium in Chicago. Aiken also leads the consultancy Data BluePrint Inc. He recalled working with a health care client who had eight different business intelligence initiatives going on at the same time within the organization.

It is important, he noted, to step back and manage data coherently and selectively. “Eighty percent of data in your organization falls in the category of ROT: redundant, obsolete and trivial. Why do you want to manage it?” Another important task is to assign specific responsibilities to team members, such as the need to share data across boundaries. The goal is to achieve repeatable data management practices.

Organizations that want to succeed in data analytics will make it a top priority, Aiken contended. Among other factors, that means having a dedicated senior executive position overseeing analytics. Organizations have top jobs in such areas as technology, operations, finance and marketing, and now they need to bring analytics to that level. “If it’s buried in I.T., it’s not going to work.”

Register or login for access to this item and much more

All Health Data 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