Data Vault Ensemble Modeling

Exorcising the Seven Deadly Data Sins

Peter Aiken, Data Blueprint

The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This talk will discuss these barriers—the titular “Seven Deadly Data Sins”—and in the process will also:

  • Elaborate upon the three critical factors that lead to strategy failure
  • Demonstrate a two-stage data strategy implementation process
  • Explore the sources and rationales behind the “Seven Deadly Data Sins,” and recommend solutions and alternative approaches.

Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author and researcher, he has studied DM for more than 30 years.  International recognition has come from assisting more than 150 organizations in 30 countries including some of the world’s most important.  He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy.  Peter also hosts the longest running and most successful webinar series dedicated to DM (hosted by dataversity.net).  In 1999, he founded Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage and operational efficiencies.  He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I) and Associate Director of the MIT International Society of Chief Data Officers.