HBR guide to data analytics basics for managers
Material type:
TextPublication details: Boston Harvard Business Review Press 2018 Description: x, 231 pISBN: 9781633694286Subject(s): Data analyticsDDC classification: 658.4033 Summary: 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
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 658.4033 HAR (Browse shelf(Opens below)) | 1 | Available | 000602 |
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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