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HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

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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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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

30 review for HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

  1. 5 out of 5

    Foad Ansari

    خوب بود ولی پیوستگی لازم بین مقالات وجود نداشت

  2. 5 out of 5

    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.

  3. 5 out of 5

    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.

  4. 5 out of 5

    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.

  5. 5 out of 5

    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.

  6. 4 out of 5

    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.

  7. 5 out of 5

    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.

  8. 4 out of 5

    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.

  9. 5 out of 5

    Diego Velandia

    A guide for basic data management understanding.

  10. 4 out of 5

    Kamesh Chivukula

    An academic piece. Not for serious students.

  11. 5 out of 5

    Amanda Sagastume

    There were some great articles in this book. I didn’t find each one relevant or helpful but enjoyed the majority.

  12. 4 out of 5

    Karunakar

    Covers the basics not recommended for anyone who has previous knowledge

  13. 4 out of 5

    Thảo Phương

    This book help me have overview about mistakes and popular trap when I analyze data and make decision from the data models.

  14. 4 out of 5

    Mona

    Pretty neat book that nicely summarizes all aspects of working with data science team, pitfalls to avoid and how to think about data.

  15. 4 out of 5

    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 !

  16. 4 out of 5

    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.

  17. 5 out of 5

    Jate Saitthiti

  18. 5 out of 5

    Gavin Lissimore

  19. 4 out of 5

    Trygve Kalland

  20. 5 out of 5

    Antti Reijonen

  21. 5 out of 5

    rooban

  22. 4 out of 5

    Le Crom

  23. 4 out of 5

    Leah Cotterman

  24. 4 out of 5

    Luis

  25. 4 out of 5

    Miguel Díaz Hernández

  26. 5 out of 5

    Tran Nguyen

  27. 5 out of 5

    Author25

  28. 5 out of 5

    Genta Ciceri

  29. 5 out of 5

    Natarajan

  30. 5 out of 5

    Paul Cullen

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