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 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
HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
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 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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30 review for HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
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Wei Cui –
The book contains 22 articles plus an appendix. As a data scientist, I especially like the article Know the difference between your data and your metrics, Linear thinking in a Nonlinear world, Pitfalls of data-driven decisions, Don’t let your analytics cheat the truth, and all the articles under communicate your findings.
Diego –
Great reference to keep your mind in the right place; establishes the framework and includes surrounding intangibles with data analytics. Good go to to begin.
Foad Ansari –
خوب بود ولی پیوستگی لازم بین مقالات وجود نداشت
Opemipo Aikomo –
As a designer, I found many parts of this book useful for critically thinking about what's most important to begin proper data analytics. Some of the essays were way out of my range, but I like that it feels like a bible I can always refer back to as I improve. As a designer, I found many parts of this book useful for critically thinking about what's most important to begin proper data analytics. Some of the essays were way out of my range, but I like that it feels like a bible I can always refer back to as I improve.
Ayush Kumar –
Decent, but not as good as some of the other HBR guides. It skims lightly over the various components of Data Analytics- too lightly, perhaps. It's an easy read, but if you're looking for an intellectual insight into data analytics for managers, I'm sure there's better books out there. Decent, but not as good as some of the other HBR guides. It skims lightly over the various components of Data Analytics- too lightly, perhaps. It's an easy read, but if you're looking for an intellectual insight into data analytics for managers, I'm sure there's better books out there.
Jeff –
This is a decent introduction to the topic, which combines a series of articles by different authors into this single volume. Good overview of foundational concepts and vocabulary.
Melissa Boatwright –
This is a good quick read about the basics of data analytics in a time when analytics and insights are becoming more and more important. Some of the articles are more relevant than others (considering it was written a few years ago), but all are short enough that in the aggregate it's worth the time to read, especially if you are moving into more senior management in a company that is already anchored in data-driven decisions or you're looking to help your company be more data driven. This is a good quick read about the basics of data analytics in a time when analytics and insights are becoming more and more important. Some of the articles are more relevant than others (considering it was written a few years ago), but all are short enough that in the aggregate it's worth the time to read, especially if you are moving into more senior management in a company that is already anchored in data-driven decisions or you're looking to help your company be more data driven.
Toni –
Great go to book for managers. I teach financial analysis to operations managers and teach in a similar manner. Interpretation and understanding not details of stats. We hire people for that part. As a managers there is some numbers they need to do themselves and others they just need to do a good job of critically evaluating and this book gives a good overview of that critical evaluation.
Diego Velandia –
A guide for basic data management understanding.
Maritzalew –
I shared each chapter of this book with my team at work. It was a good way to introduce the topic to my team.
Kamesh Chivukula –
An academic piece. Not for serious students.
Amanda Sagastume –
There were some great articles in this book. I didn’t find each one relevant or helpful but enjoyed the majority.
Karunakar –
Covers the basics not recommended for anyone who has previous knowledge
Thảo Phương –
This book help me have overview about mistakes and popular trap when I analyze data and make decision from the data models.
Kevin –
It's a book about analytics. ¯\_(ツ)_/¯ It's a book about analytics. ¯\_(ツ)_/¯
Mona –
Pretty neat book that nicely summarizes all aspects of working with data science team, pitfalls to avoid and how to think about data.
Dev Ayan –
Good and informative articles by industry experts. Would advice this book to anyone who has just started out his journey or is thinking to start his career in the field of Data Analytics
Peyman Shirazi fard –
هر انچه که نیاز دارید در باره مدیریت در عصر داده ها بدانید به طور خلاصه در این کتاب ( که مجموعه مقالات پر خواننده است ) آمده !
Abdullah –
The book gives you a brief introduction to the world of data analysis "not a statistical book with formulas and rational behind them". Also, it provides you with magnificent tips you need to consider when you are making a decision based on data figures. The book gives you a brief introduction to the world of data analysis "not a statistical book with formulas and rational behind them". Also, it provides you with magnificent tips you need to consider when you are making a decision based on data figures.
Jate Saitthiti –
Gavin Lissimore –
Trygve Kalland –
Antti Reijonen –
Guilherme Wolf –
Jeremy Xssm –
Amy Oliver –
Bhargav Ramesh –
Shan –
rooban –
Alejandro Corona –