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

Aiken, Peter; Harbour, Todd

ISBN 10: 1634622170 / ISBN 13: 9781634622172

Edité par Technics Publications, 2017

A propos de cet article

N° de réf. du vendeur 29709316-n

Détails bibliographiques

• Titre: Data Strategy and the Enterprise Data Executive : Ensuring That Business and It Are in Synch in the Post-big Data Era
• Éditeur: Technics Publications
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 1634622170
• ISBN à 13 chiffres: 9781634622172
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

Pervasive, data is a unique organizational 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 underutilized organizational asset.

Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to:

• Improve your organization's data;
• Improve the way your people use data; and
• Improve the way your people use data to achieve your organizational strategy.

This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations 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 monetize these efforts.

À propos des auteurs

Peter Aiken, an acknowledged Data Management (DM) authority, is an Associate Professor at Virginia Commonwealth University, past President DAMA International, and Associate Director of the MIT International Society of Chief Data Officers. For more than 35 years, Peter has learned from working with hundreds of data management practices in 30 countries including some of the world's most important. Among his 10 books are the first on CDOs (the case for data leadership), the first describing the monetization of data for profit/good, and the first on modern strategic data thinking. International recognition has resulted in an intensive schedule of events worldwide. Peter also hosts the longest-running DM webinar series (hosted by dataversity.net). In 1999 (before Google, before data was big, and before data science), he founded Data Blueprint, a consulting firm that has helped more than 150 organizations leverage data for profit, improvement, competitive advantage and operational efficiencies.

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.