
Overview
- Presents how developing data literacy is as important as developing the skill of critical thinking
- Uses COVID-19 to demonstrate leaders' need to possess data literacy, rather than just having access to more data
- Utilizes data to guide decision-makers and managers
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About this book
More data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions today than in the past? How many poor decisions result from the absence of data? The existence of an overwhelming amount of data has affected how we make decisions, but it has not necessarily improved how we make decisions. To make better decisions, people need good judgment based on data literacy—the ability to extract meaning from data.
Including data in the decision-making process can bring considerable clarity in answering our questions. Nevertheless, human beings can become distracted, overwhelmed, and even confused in the presence of too much data. The book presents cautionary tales of what can happen when too much attention is spent on acquiring more data instead of understanding how to best use the data we already have. Data is not produced in a vacuum, and individuals who possess data literacy will understand the environment and incentives in the data-generating process. Readers of this book will learn what questions to ask, what data to pay attention to, and what pitfalls to avoid in order to make better decisions. They will also be less vulnerable to those who manipulate data for misleading purposes.
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Table of contents (9 chapters)
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Bibliographic Information
Book Title: More Judgment Than Data
Book Subtitle: Data Literacy and Decision-Making
Authors: Michael Jones
DOI: https://doi.org/10.1007/978-3-030-99472-3
Publisher: Palgrave Macmillan Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-99471-6Published: 24 August 2022
Softcover ISBN: 978-3-030-99474-7Published: 25 August 2023
eBook ISBN: 978-3-030-99472-3Published: 23 August 2022
Edition Number: 1
Number of Pages: XIII, 160
Number of Illustrations: 3 b/w illustrations, 4 illustrations in colour
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Big Data, Statistics, general