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Does Your Organization Have the Data Architecture to Succeed?

Does Your Organization Have the Data Architecture to Succeed

Does Your Org Have the Data Architecture to Succeed?

Adrian Gates was facing a major career challenge. Auditors hired by his company, Major Healthcare, to assess the risks the company faces, came back with “data quality” as the #1 risk. Adrian had been given the job of finding out exactly what the “data quality” issue was and how to address it.

Adrian gathered experts and built workgroups to dig into the issue and do root cause analysis.  The workgroups came back with some pretty surprising results. 

  • Most people expected  that “incorrect data” (missing, out of date, incomplete, or wrong data) would be the main problem.  What they found was that this was only #5 on the list of issues.
  • The #1 issue was “Too much data.”  People working with the data could not find the data they needed because there was too much data available, and it was hard to figure out which was the data they needed.
  • The #2 issue was that people did not know the meaning of data.  And because people had different interpretations of the data, the often produced analyses with conflicting results.  For example, “claims paid date” might mean the date the claim was approved, the date the check was cut or the date the check cleared. These different interpretations resulted in significantly different numbers.
  • In third place was the difficulty in accessing the data.  Their environment was a forest of interfaces, access methods and security policies.   Some were documented and some not.

In one of the workgroups, a senior manager put the problem in a larger business context;

 “Not being able to leverage the data correctly allows competitors to break ground in new areas before we do. Our data in my opinion is the ‘MOST’ important element for our organization.”

What started as a relatively straightforward data quality project became a more comprehensive enterprise data management initiative that could literally change the entire organization.  By the project’s end, Adrian found himself leading the data strategy of the organization. 

This kind of story is happening with increasing frequency across all industries as all businesses become more digital, the quantity and complexity of data grows, and the opportunities to offer differentiated services based on data grow.  We are entering an era of data-fueled organizations where the competitive advantage will go to those who use their data ecosystem better than their competitors.

Gartner is predicting that we are entering an era of increased technology disruption.  Organizations that focus on data as their competitive edge will have the advantage.  It has become clear that a strong enterprise data architecture is central to the strategy of any industry-leading organization.

For more future-thinking on the subject of enterprise data management and data architecure see Think ‘Data First” to Drive Business Value                

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