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Nikkei Business Publications, Inc. Bookmark

Graduation from "I'm not good with data": Quantification Techniques for Managers

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Abstract

It's not easy to read a book about data analysis. But this book will do the trick. This book is designed with the assumption that the reader is not very good at data analysis, so it does not create "I don't know" situations. Nevertheless, the contents are immediately useful for experienced business people, so I am sure you will be able to read the book all the way to the end.
Data analysis is a very deep field, and using complex methods can produce dramatic results, but in everyday business life, it is possible to get the full effect without using such methods. As long as you don't dislike it, you can use quantification techniques in a variety of situations, and the more you use them, the less painful they become.
The goal of this book is to accumulate successful experiences of "This is OK," "I can use it," and "I can feel its effectiveness. Once you have achieved this goal, you will find that quantification and data analysis will become your skills. This is a book on the basics of quantification skills that should be picked up by those who feel that "data analysis is not my forte.

Author’s Information

Representative of Zoku Zoku Consulting
The author has been involved in the data business for more than 15 years, and has held key positions in the second phase of the company's founding, including President of Dentsu Macromill Insight and Executive Director of Macromill's business strategy, marketing, and product development. In a career spanning more than 20 years, he has held management positions for 18 years and has managed a total of more than 500 people. He has delivered basic skills in data analysis and new business planning to many business people in order to survive in uncertain times.

Series/Label ---
Released Date Oct 2022
Price ¥2,000
Size 148mm×210mm
Total Page Number 256 pages
Color Page Number ---
ISBN 9784296200825
Genre Technology / Engineering / Computers > Technology/Engineering/Computers
Visualization experience NO
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