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Valuing Data - An Open Framework (Paperback)
Loot Price: R1,342
Discovery Miles 13 420
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Valuing Data - An Open Framework (Paperback)
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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: Provide the reader with some background on the nature of data
Present the common categories of business data Explain the
importance of data management Report the current thinking on data
valuation Offer some business reasons to value data Present an
"open framework"-along with some proposed methods-for valuing data
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.
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