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Exploring Data: An Introduction to Data Analysis for Social Scientists by Catherine Marsh and Jane Elliott
https://www.amazon.com/Exploring-Data-Introduction-Analysis-Scientists/dp/0745622828
The Black Swan: The Impact of the Highly Improbable by Nassim Nicholas Taleb
https://www.amazon.com/Black-Swan-Improbable-Robustness-Fragility/dp/081297381X/
Outliers: The Story of Success by Malcolm Gladwell
https://www.amazon.com/Outliers-Story-Success-Malcolm-Gladwell/dp/031602497X/
“5 Techniques to Help You Truly Understand Your Customers” by Neil Patel
https://neilpatel.com/blog/understand-your-customers/
“Business Marketing: Understand What Customers Value” by James C. Anderson and James A. Narus
https://hbr.org/1998/11/business-marketing-understand-what-customers-value
“Using Twyman’s Law to Avoid Red Herrings in Product Analytics” by Tai Rattigan
https://amplitude.com/blog/2017/05/17/twymans-law
“Twyman’s Law and Controlled Experiments” by Ronnie Kohavi
https://www.exp-platform.com/Documents/TwymansLaw.pdf
Obituary: Audience Measurement Veteran Tony Twyman
https://www.mrweb.com/drno/news20011.htm
“I Have Data. I Need Insights. Where Do I Start”” by Rama Ramakrishnan
https://towardsdatascience.com/i-have-data-i-need-insights-where-do-i-start-7ddc935ab365
Actionable Insights for Your Business With Data-Driven Marketing
“Product Analytics: Everything You Need to Know Including Advanced Tactics” by Ruben Ugarte
https://practicoanalytics.com/product-analytics/
“Product analytics: 4 ways to deliver better insights for higher quality decisions” by Karen Church
https://www.intercom.com/blog/4-ways-to-deliver-better-product-analytics/
“Product analytics: 42 KPI ideas” by Karolina Matuszewska
https://piwik.pro/blog/42-kpi-ideas-for-your-product-analytics/
“4 Steps to Defining GREAT Metrics for ANY Product” by Vince Law
https://hackernoon.com/metrics-game-framework-5e3dce1be8ac
“Your Dataset is a Giant Inkblot Test” by Cassie Kozyrkov
https://towardsdatascience.com/your-dataset-is-a-giant-inkblot-test-b9bf4c53eec5
“Data Storytelling: The Essential Data Science Skill Everyone Needs” by Brent Dykes
Apophenia - Wikipedia
https://en.wikipedia.org/wiki/Apophenia
Texas Sharpshooter Fallacy - Wikipedia
https://en.wikipedia.org/wiki/Texas_sharpshooter_fallacy
Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals by Brent Dykes
https://www.amazon.com/gp/product/1119615712/
“Why Your Data Culture Will Depend On Data Storytelling” by Brent Dykes
https://www.blastanalytics.com/blog/why-your-data-culture-will-depend-on-data-storytelling
PDSA Cycle - The William Edwards Deming Institute
https://deming.org/explore/pdsa/
W. Edwards Deming - Wikipedia
https://en.wikipedia.org/wiki/W._Edwards_Deming
“Deming and Lean: The Disparities and Similarities” by John Hunter
https://deming.org/deming-and-lean-the-disparities-and-similarities/
How is Scrum Related to Plan-Do-Check-Act (PDCA) Process?
https://www.archimetric.com/how-is-scrum-related-to-plan-do-check-act-pdca-process/
“In Praise of Lord Kelvin” by David Saxon
https://physicsworld.com/a/in-praise-of-lord-kelvin/
“How To Create A Data Strategy: 7 Things Every Business Must Include” by Bernard Marr
How To Build A Data Strategy
https://www.lotame.com/how-to-build-a-data-strategy/
“Developing a Data Strategy Template” by Michelle Knight
https://www.dataversity.net/developing-a-data-strategy-template/
“How to build a data strategy: a step-by-step guide” by Mel Dixon
https://www.the-gma.com/how-to-build-a-data-strategy-a-step-by-step-guide
Data Strategy
https://www.pwc.com/hu/en/szolgaltatasok/technologiai_tanacsadas/data_analytics/data_strategy.html
“Have One Hour? Create A Strategic Plan On A Page” by Sarah Beth Aubrey
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