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Evidence-Based Decision-Making - How to Leverage Available Data and Avoid Cognitive Biases (Paperback)
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Evidence-Based Decision-Making - How to Leverage Available Data and Avoid Cognitive Biases (Paperback)
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Evidence-Based Decision-Making: How to Leverage Available Data and
Avoid Cognitive Biases examines how a wide range of factual
evidence, primarily derived from a variety of data available to
organizations, can be used to improve the quality of business
decision-making, by helping decision makers circumvent the various
cognitive biases that adversely impact how we all think. The book
is built on the following premise: During the past decade, the new
'data world' emerged, in which the rush to develop competencies
around business analytics and data science can be characterized as
nothing less than the new commercial arms race. The ever-expanding
volume and variety of data are well known, as are the great
advances in data processing/analytics, data visualization, and
related information production-focused capabilities. Yet,
comparatively little effort has been devoted to how the
informational products of business analytics and data science are
'consumed' or used in the organizational decision-making processes,
as the available evidence shows that only some of that information
is used to drive some business decisions some of the time.
Evidence-Based Decision-Making details an explicit process
describing how the universe of available and applicable evidence,
which includes organizational and other data, industry benchmarks,
scientific studies, and professional experience, can be assessed,
amalgamated, and funneled into an objective driver of key business
decisions. Introducing key concepts in relation to data and
evidence, and the history of evidence-based management, this new
and extremely topical book will be essential reading for
researchers and students of data analytics as well as those working
in the private and public sectors, and in the voluntary sector.
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