HBR guide to data analytics, basics for managers.

Material type: TextTextSeries: Smarter than Average GuidePublication details: Massachusetts, USA Harvard Business Review Press.Description: x, 231 p. Fully Booked - Php 1229.00 23 cmISBN:
  • 9781633694286
Subject(s): DDC classification:
  • SHS 658.4 H33 2018
Summary: Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. 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 three key steps in the data analysis process, so you can 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 Run experiments and A/B tests 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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Item type Current library Call number Status Barcode
Books Books FEU - Cavite Basic Education BED Library SHS 658.4 H33 2018 (Browse shelf(Opens below)) Available SH0793

Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. 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 three key steps in the data analysis process, so you can 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 Run experiments and A/B tests 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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