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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156
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Global Multichannel Consumer Behaviour (Research/Purchase) Analysis

Occam's Razor

Please visit the about page to learn more about the data collection methodology, sample sizes, and the Enumeration study to ensure results are representative, and to download the detailed questionnaires used for each study. and mobile intent to purchase (I love this data). Think of it as attribution modeling. :).

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Consuming this data, we’ll often care about the mean of multiple labels.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.