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Product coach: discovery, metrics and experimentation for trios and product teams || 1:1 coach for Lead & Senior Product Managers || Miss Impact Mapping || Keynote Speaker || Maker

"[...] there is one other, foundational, aspect to data that I did not fully appreciate. That aspect is this: there are two distinct environments in which data analysis occurs. 1. Some data are the result of an experiment or special study. You make a change, and then compare the results of that change with some control group. Imagine doing an A/B test. For the sake of convenience, let’s call this approach ‘𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗲𝘀’.     2. Other data occur as a by-product of some operation. As a business process runs, it throws off some data that you observe. Imagine monitoring web traffic, inventory turns, or working capital at your company. We’ll call this approach ‘𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗲𝘀’. The two environments lead to two different attitudes to data analysis.[...] Good read by 📚 Cedric Chin https://lnkd.in/eiiNQRsq #productmanagement #productanalytics #BCnoBSprodmgmt  

Two Types of Data Analysis

Two Types of Data Analysis

commoncog.com

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