HBR guide to data analytics basics for managers.
Material type:
TextPublication details: Boston, Massachusetts : Harvard Business Review Press, c2018Description: x, 231 pages ; 23 cmISBN: - 9781633694293
- HF 1017 .H37 2018
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National University - Manila | LRC - Main General Circulation | Hospitality Management | GC HF 1017 .H37 2018 (Browse shelf(Opens below)) | c.1 | Available | NULIB000018283 |
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| GC HF 5549.5.M5 .T46 2017 Managing workplace diversity and inclusion : a psychological perspective / | GC HF 5549.5.M5 .W55 2020 Diversity in the workplace : eye-opening interviews to jumpstart conversations about identity, privilege, and bias / | GC HF 5734.5 .L63 2008 Streetwise meeting and event planning : from trade shows and conventions to fundraisers and galas--everything you need for a successful business event / | GC HF 1017 .H37 2018 HBR guide to data analytics basics for managers. | GC HF 5381 .C65 2011 The Complete guide to careers in special events : step toward success! / | GC HF 5437 .H39 2010 Purchasing : a guide for hospitality professionals / | GC HF 5549 .G65 1997 Human resource management for hospitality services / |
Includes index.
Keep up with your quants / Thomas H. Davenport -- A simple exercise to help you think like a data scientist / Thomas C. Redman -- Do you need all that data? / Ron Ashkenas -- How to ask your data scientists for data and analytics / Michael Li, Madina Kassengaliyeva, and Raymond Perkins -- How to design a business experiment / Oliver Hauser and Michael Luca -- Know the difference between your data and your metrics / Jeff Bladt and Bob Filbin -- The fundamentals of A/ B testing / Amy Gallo -- Can your data be trusted? / Thomas C. Redman -- A predictive analytics primer / Thomas H. Davenport -- Understanding regression analysis / Amy Gallo -- When to act on a correlation, and when not to / David Ritter -- Can machine learning solve your business problem? / Anastassia Fedyk -- A refresher on statistical significance / Amy Gallo -- Linear thinking in a nonlinear world / Bart De Langhe, Stefano Puntoni, and Richard Larrick -- Pitfalls of data-driven decisions / Megan MacGarvie and Kristina McElheran -- Don't let your analytics cheat the truth / Michael Schrage -- Data is worthless if you don't communicate it / Thomas H. Davenport -- When data visualization works-and when it doesn't / Jim Stikeleather -- How to make charts that pop and persuade / Nancy Duarte -- Why it's so hard for us to communicate uncertainty / An interview with Scott Berinato by Nicole Torres -- Responding to someone who challenges your data / Jon M. Jachimowicz -- Decisions don't start with data / Nick Morgan -- Appendix: Data scientist: the sexiest job of the 21st century / Thomas H. Davenport and D.J. Patil.
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data, but leaving the analysis to others in your company just won't cut it. Now more than ever, managers must know how to tease insight from data--to understand where it comes from, make sense of the numbers, and use those findings to inform their toughest decisions. But how do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes a three-step process to get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Formulate hypotheses and test against them Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes..
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