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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
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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.
- 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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