Name: More Judgment Than Data: Data Literacy and Decision-Making (en Inglés)
SKU: 57532660
Price: 104.43 USD
Availability: InStock
Author: Jones, Michael
ISBN: 9783030994747

portada More Judgment Than Data: Data Literacy and Decision-Making (en Inglés)

More Judgment Than Data: Data Literacy and Decision-Making (en Inglés)

Formato

Libro Físico

Autor

Michael Jones

Editorial

Palgrave MacMillan

Idioma

Inglés

N° páginas

160

Encuadernación

Tapa Blanda

Dimensiones

21x14.8x1 cm

Peso

0.22 kg.

ISBN13

9783030994747

Categorías

Teoría y filosofía económicas
Probabilidad y estadística
Bases de datos

More Judgment Than Data: Data Literacy and Decision-Making (en Inglés)

Michael Jones (Autor) · Palgrave MacMillan · Tapa Blanda

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Reseña del libro "More Judgment Than Data: Data Literacy and Decision-Making (en Inglés)"

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.