Signal: Understanding What Matters in a World of Noise

Stephen Few

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商品描述

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.

商品描述(中文翻譯)

在這個所謂的大數據時代,組織紛紛努力實施新的軟體和硬體,以增加他們收集和儲存的數據量。然而,這樣做無意中使得在快速增長的數據堆積中尋找有用信息的針更加困難。如果不知道如何區分信號和噪音,增加更多噪音只會使情況變得更糟。當我們依賴數據做出決策時,我們如何判斷什麼是信號,什麼只是噪音呢?數據本身既不是信號也不是噪音。假設數據是準確的,它只是一個事實的集合。只有當一個事實是真實且有用時,它才是信號。否則,它就是噪音。就是這麼簡單。在《信號》一書中,Stephen Few提供了直接、實用的信號檢測指導,這是迄今為止所缺乏的。他使用數據可視化方法,教授如何應用統計學來全面了解數據,並以新的方式適應統計過程控制技術,不僅檢測指標的變化,還檢測數據特徵的變化。