Signal: Understanding What Matters in a World of Noise

Signal: Understanding What Matters in a World of Noise

by Stephen Few

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Overview

Signal: Understanding What Matters in a World of Noise by Stephen Few


Teaches the analytical skills necessary to glean value from the warehouses of accumulating data

In this age of so-called Big Data, organizations are scrambling to implement new software and hardware to increase the amount of data they collect and store. However, in doing so they are unwittingly making it harder to find the needles of useful information in the rapidly growing mounds of hay. If you don’t know how to differentiate signals from noise, adding more noise only makes things worse. When we rely on data for making decisions, how do we tell what qualifies as a signal and what is merely noise? In and of itself, data is neither. Assuming that data is accurate, it is merely a collection of facts. When a fact is true and useful, only then is it a signal. When it’s not, it’s noise. It’s that simple. In Signal, Stephen Few provides the straightforward, practical instruction in everyday signal detection that has been lacking until now. Using data visualization methods, he teaches how to apply statistics to gain a comprehensive understanding of one’s data and adapts the techniques of Statistical Process Control in new ways to detect not just changes in the metrics but also changes in the patterns that characterize data.

Product Details

ISBN-13: 9781938377051
Publisher: Analytics Press
Publication date: 06/01/2015
Pages: 225
Sales rank: 644,524
Product dimensions: 8.90(w) x 11.30(h) x 0.80(d)

About the Author


Stephen Few is the founder of the data visualization consultancy Perceptual Edge. He speaks, teaches, and consults internationally and writes the quarterly Visual Business Intelligence Newsletter. He is the author of Information Dashboard Design: Displaying Data for At-a-Glance MonitoringNow You See It: Simple Visualization Techniques for Quantitative Analysis, and Show Me the Numbers: Designing Tables and Graphs to Enlighten. He lives in Berkeley, California.

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