9781634622172-1634622170-Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era

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

ISBN-13: 9781634622172
ISBN-10: 1634622170
Edition: 1
Author: Peter Aiken, Todd Harbour
Publication date: 2017
Publisher: Technics Publications
Format: Paperback 248 pages
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Book details

ISBN-13: 9781634622172
ISBN-10: 1634622170
Edition: 1
Author: Peter Aiken, Todd Harbour
Publication date: 2017
Publisher: Technics Publications
Format: Paperback 248 pages

Summary

Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era (ISBN-13: 9781634622172 and ISBN-10: 1634622170), written by authors Peter Aiken, Todd Harbour, was published by Technics Publications in 2017. With an overall rating of 3.9 stars, it's a notable title among other Information Management (Processes & Infrastructure, Systems & Planning, Management & Leadership, Strategic Planning, Databases & Big Data) books. You can easily purchase or rent Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era (Paperback, Used) from BooksRun, along with many other new and used Information Management books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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