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About the Webinar

Too often we hear the question – can you help me with a data strategy? Unfortunately, for most, this is the wrong request because it focuses on its least valuable aspect. The more useful request is – can you help me apply data strategically in support of strategy? Yes, at early maturity phases, the process is more important than the product! Trying to write a good (much less perfect) data strategy on the first attempt is generally not productive – particularly giving the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” By refocusing lesson learning on crawl, walk, run approaches to using data strategically, data is able to keep up with agile, evolving strategies. This approach will contribute more to three primary organizational data goals than other efforts. Learn how improving:

• Your organization’s data
• The way your people use data
• The way your people use data to achieve your organizational strategy

contributes more than predetermined plans. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges pervasively includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are covered including:

• A cohesive argument for why Data Strategy is necessary for effective Data Governance
• An overview of prerequisites for effective strategic use of Data Strategy, as well as common pitfalls
• A repeatable process for identifying and removing data constraints
• The importance of balancing business operation and innovation

About the Speaker

Peter Aiken, PhD

Founding Director, Data Blueprint

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. 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 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.

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