Evidence-Based Decision-Making

How to Leverage Available Data and Avoid Cognitive Biases

Business & Finance, Economics, Development & Growth, Human Resources & Personnel Management, Organizational Behavior, Management & Leadership, Management
Cover of the book Evidence-Based Decision-Making by Andrew D. Banasiewicz, Taylor and Francis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andrew D. Banasiewicz ISBN: 9781351050050
Publisher: Taylor and Francis Publication: March 4, 2019
Imprint: Routledge Language: English
Author: Andrew D. Banasiewicz
ISBN: 9781351050050
Publisher: Taylor and Francis
Publication: March 4, 2019
Imprint: Routledge
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Taylor and Francis

Cover of the book Cinema, Literature & Society by Andrew D. Banasiewicz
Cover of the book Vsevolod Meyerhold by Andrew D. Banasiewicz
Cover of the book Growing up Female in Multi-Ethnic Malaysia by Andrew D. Banasiewicz
Cover of the book The United Nations In Action by Andrew D. Banasiewicz
Cover of the book Juan de Valdés and the Italian Reformation by Andrew D. Banasiewicz
Cover of the book The Politics of the Unpolitical by Andrew D. Banasiewicz
Cover of the book Theoretical Roots of US Foreign Policy by Andrew D. Banasiewicz
Cover of the book Historical Directory of Trade Unions by Andrew D. Banasiewicz
Cover of the book Patterns of European Industrialisation by Andrew D. Banasiewicz
Cover of the book The Psychological Processes of Childbearing by Andrew D. Banasiewicz
Cover of the book Feminist Review by Andrew D. Banasiewicz
Cover of the book State Repression in Post-Disaster Societies by Andrew D. Banasiewicz
Cover of the book Headwinds of Opportunity by Andrew D. Banasiewicz
Cover of the book Theories of the Mobile Internet by Andrew D. Banasiewicz
Cover of the book Policing for a New South Africa by Andrew D. Banasiewicz
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy