Valuing Data: An Open Framework Contributor(s): Ray, Dewey E. (Author) |
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ISBN: 1138297747 ISBN-13: 9781138297746 Publisher: Taylor & Francis OUR PRICE: $95.00 Product Type: Hardcover - Other Formats Published: June 2018 |
Additional Information |
BISAC Categories: - Computers | Databases - General - Computers | Information Technology - Computers | Security - General |
Dewey: 658.15 |
LCCN: 2017025819 |
Physical Information: 0.6" H x 6.4" W x 9.4" (0.88 lbs) 128 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The past decade has seen a dramatic increase in the amount and variety of information that is generated and stored electronically by business enterprises. Storing this increased volume of information has not been a problem to date, but as these information stores grow larger and larger, multiple challenges arise for senior management: namely, questions such as How much is our data worth? Are we storing our data in the most cost-effective way? Are we managing our data effectively and efficiently? Do we know which data is most important? Are we extracting business insight from the right data? Are our data adding to the value of our business? Are our data a liability? What is the potential for monetizing our data? and Do we have an appropriate risk management plan in place to protect our data? To answer these value-based questions, data must be treated with the same rigor and discipline as other tangible and intangible assets. In other words, corporate data should be treated as a potential asset and should have its own asset valuation methodology that is accepted by the business community, the accounting and valuation community, and other important stakeholder groups. Valuing Data: An Open Framework is a first step in that direction. Its purpose is to:
The book does not aim to prescribe exactly how data should be valued monetarily, but rather it is a starting point for a discussion of data valuation with the objective of developing a stakeholder consensus, which, in turn, will become accepted standards and practices. |