Data Strategy and the Enterprise Data Executive: Ensuring That Business and IT Are in Synch in the Post-Big Data Era

Pervasive, data is a unique organisational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilised organisational asset. Lack of talent, barriers in organisational thinking, and seven specific data sins prevent most organisations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organisation to: Improve your organisations data; Improve the way your people use data; and Improve the way your people use data to achieve your organisational strategy. This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organisations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetise these efforts.

About the Author :
Peter Aiken is acknowledged to be a top data management (DM) authority. As a practicing data manager, consultant, author, and researcher, he has been actively performing and studying DM for more than thirty years. His expertise has been sought by some of the world's most important organizations, and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 150 organizations in 27 countries across numerous industries, including intelligence, defense, banking, healthcare, telecommunications, and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his popular The Case for the Chief Data Officer and Monetizing Data Management, and he hosts the longest running and most successful webinar dedicated to data management. Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also an 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. Todd Harbour is the Chief Data Officer (CDO) for New York State, where he orchestrates work to design and implement a data management regime. Todd's work includes developing a data governance strategy, framework, and roadmap; defining a unified information architecture; realizing master data; coordinating data sharing; and establishing a state-wide data analytics community of practice.Todd is a certified Project Management Professional (PMP), Program Management Professional (PgMP), Scrum Master (CSM), and Chief Information Officer (CIO) with the Project Management Institute and National Defense University. Todd is also a certified Data Management Professional (CDMP) and Data Governance and Stewardship Professional (DGSP) with the Data Management Association (DAMA). Todd currently holds four graduate degrees in information systems, project management, business administration, and government information leadership.