Data Vault Ensemble Modeling

Putting Data First: Why Johnny can’t data and what we need to do about it

Peter Aiken, Data Blueprint

Organizations are repeatedly frustrated when attempting to do more with their data.  Not even really certain what this means or how to do it, they still repeatedly spend too much, take too long, and deliver far less than planned as they try to employ data in support of their strategic objectives.  This 2-day workshop begins by describing the root causes of why Johnny and organizations in general can’t better leverage data – focusing on its inherent architectural and engineering roots – foundations that are almost totally lacking in formal university programs and training curricula.  Three subsequent half day sessions then focus on requisite leadership criteria for success; how to express these needs in a form that management will understand – a focus on the ‘why’ – a data strategy; and monetizing data management in order to make it relevant to management.  After two days, delegates will be able to better prepare their organizations to better employ data to support their objectives.

Day 1 (morning) As-is/Cause for concern:

  • Disclaimer/Bad data decisions spiral
  • Data Management practices hierarchy structure
  • Cost of the lack of architecture/engineering capabilities
  • Self-assessment/Root cause analysis

Day 1 (afternoon) Leadership/Necessary (but insufficient) prerequisites:

  • Dedicated solely to data asset leveraging
  • Unconstrained by an IT project mindset
  • Reporting directly to the business
  • Implementation of data-centric thinking

Day 2 (morning) Data Strategy/A focus on the ‘why’:

  • Data management practices hierarchy and foundational elements
  • A data strategy is necessary for effective data governance
  • Effective data strategy prerequisites
  • Data strategy development phase II–iterations

Day 2 (afternoon) Valuing Data and Data Activities/Numerous examples:

  • Big data technologies demystified
  • Leveraging data management
  • Monetary cases
  • Non-monetary cases

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  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.