Data Strategy and Data Modeling: Ensuring that Business and IT are in Synch in the Post-Big Data Era

Data Strategy and Data Modeling: Ensuring that Business and IT are in Synch in the Post-Big Data Era

Peter Aiken, Data Blueprint

In the modern-day Information Age, data is the lifeblood of virtually every organization and functional area in business. Awareness of this reality, however, is only the first step towards solving today’s most endemic organizational problem: how to utilize and apply data assets in ways that directly support business imperatives. Many C-level executives who try to get more out of their data oversimplify the data management process, and accordingly find themselves frustrated by the initiative’s unexpected complexity, how long it often takes to complete it, and the relative lack of deliverable progress they’re ultimately able to make.

Mainstream concepts like “Big Data” and “Data Science” make huge promises and sound great on paper, but alone have proven insufficient for meeting today’s business needs and providing sustainable long-term benefits. To leverage data in support of strategic objectives, designing and implementing an effective data strategy is essential, specifically one centered around three holistic core tenets:

  1. Embrace the realization that data assets need better treatment
  2. Recognize that a universal, organization-spanning strategy for managing data assets and developing workers with new knowledge, skills, and experience is required to meet the challenges of tomorrow
  3. Adopt a socio-technical approach to data assets, so they can be incorporated into all operational parts of the organization

Data is the only non-depletable, non-degrading, and durable strategic asset organizations have in their arsenal – and data strategy is how they can benefit from it.  Understanding the role of modeling within this context is critical – several examples will illustrate how models can be used to both uncover existing (or preexisting) aspects of strategy and to set boundaries on selection or development of future IT assets.

About the Speaker

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 Inc, 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.