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HBR guide to data analytics basics for managers.

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Boston, Massachusetts : Harvard Business Review Press, [2018]

Management -- Statistical methods.

Quantitative research.

Decision making -- Statistical methods.

Decision support systems.

Information visualization.

9781633694286 (paperback) :

Harvard business review guides.

x, 231 pages : illustrations ; 23 cm.

Introduction. Why you need to understand data analytics -- Section 1. Getting started. Keep up with your quants : an innumerate's guide to navigating big data / by Thomas H. Davenport ; A simple exercise to help you think like a data scientist : an easy way to learn the process of data analytics / by Thomas C. Redman -- Section 2. Gather the right information.: Do you need all that data? : questions to ask for a focused search / by Ron Ashkenas ; How to ask your data scientists for data and analytics : factors to keep in mind to get the information you need / by Michael Li, Madina Kassengaliyeva, and Raymond Perkins ; How to design a business experiment : seven tips for using the scientific method / by Oliver Hauser and Michael Luca ; Know the difference between your data and your metrics : understand what you're measuring / by Jeff Bladt and Bob Filbin ; The fundamentals of A/B testing : how it works and mistakes to avoid / by Amy Gallo ; Can your data be trusted? : gauge whether your data is safe to use / by Thomas C. Redman -- Section 3. Analyze the data. A predictive analytics primer : look to the future by looking at the past / by Thomas H. Davenport ; Understanding regression analysis : evaluate the relationship between variables / by Amy Gallo ; When to act on a correlation, and when not to : assess your confidence in your findings and the risk of being wrong / by David Ritter ; Can machine learning solve your business problem? : steps to take before investing in artificial intelligence / by Anastassia Fedyk ; A refresher on statistical significance : check if your results are real or just luck / by Amy Gallo ; Linear thinking in a nonlinear world : a common mistake that leads to errors in judgment / by Bart de Langhe, Stefano Puntoni, and Richard Larrick ; Pitfalls of data-driven decisions : the cognitive traps to avoid / by Megan MacGarvie and Kristina McElheran ; Don't let your analytics cheat the truth : pay close attention to the outliers / by Michael Schrage -- Section 4. Communicate your findings. Data is worthless if you don't communicate it : tell people what it means / by Thomas H. Davenport ; When data visualization works, and when it doesn't : not all data is worth the effort / by Jim Stikeleather ; How to make charts that pop and persuade : five questions to help give your numbers meaning / by Nancy Duarte ; Why it's so hard for us to communicate uncertainty : illustrating -- and understanding -- the likelihood of events : an interview with Scott Berinato / by Nicole Torres ; Responding to someone who challenges your data : ensure the data is thorough, then make them an ally / by Jon M. Jachimowicz ; Decisions don't start with data : influence others through story and emotion / by Nick Morgan -- Appendix. Data scientist : the sexiest job of the 21st century / by Thomas H. Davenport and D.J. Patil.

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