The Essence of Data

Name: The Essence of Data
ISBN: 9787559609946

车品觉Beijing United Publishing Co., Ltd. · ChinaDec 2021

3.8

Word count: 84K words
Chapters: 24
ISBN: 9787559609946

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Summary

In the future, no company will not be a data company. In the future, no person will not be a data analyst. After the clamor of the big data era, in the second half of big data, whoever understands the essence of data will break the deadlock and emerge victorious, truly taking data from seeing to using, and truly transforming enterprises into data companies that completely exclude human decision-making. The Essence of Data is a practical work that leads enterprises and individuals to break through in the intelligent business era. The four core essences of big data, the way to build the core digital economy engine of the intelligent business era, the five major scenarios of big data monetization, blockchain, artificial intelligence, Fintech, new retail... all the new trends of intelligent business in one net! It is both a must-have desk book for Internet practitioners and a decision-making treasure for management.

Editor's review

In an age of data deluge, The Essence of Data is like a beacon guiding the lost. Mr. Che Pinjue, with years of hands-on experience in top Internet companies such as Alibaba, goes beyond mere technical explanation to address the core dilemma of data application—we often possess massive data yet do not know how to distill true business wisdom from it. The book's greatest value lies in its systematic analysis of the cognitive biases and process traps that managers and analysts commonly fall into across the entire chain from data collection and processing to decision-making. The author's "five-step data-driven thinking method" is no castle in the air; it is a practical framework grounded in numerous local enterprise cases, offering particularly high reference value for traditional enterprises undergoing digital transformation. Reading this book, you will understand not only the "techniques" of data but also the "way" of harnessing it. It helps you build a habit of mind: behind every data point, see human behavior, the pulse of the market, and the essence of business.

Who it's for

A good fit for

Mid- to senior-level managers leading or participating in enterprise digital transformation
Industry analysts eager to mine business value from data but unsure how to start
Entrepreneurs interested in data thinking and hoping to make decision-making more scientific
Students majoring in business analytics or data science who seek to connect theory with practice

Not a good fit for

Purely technical developers looking for specific programming code or algorithm implementation details
Entry-level readers expecting a light, easy-to-understand, highly narrative popular science book on data

Reading tips

It is recommended to first skim the whole book quickly to grasp the author's core framework and line of thinking, then closely read relevant chapters in light of your own work scenarios
Keep a notebook while reading to record the key questions raised in the book and compare and reflect on them against the current state of your organization
The book is rich in cases; do not view them in isolation. Try to connect different cases to understand how the author applies the same methodology to different scenarios

About the publisher

Beijing United Publishing Co., Ltd. China · Founded in 1993

Beijing United Publishing Co., Ltd. is a publisher known for its literature and history titles, with 2,065 books in the collection. Its publishing covers foreign literature, contemporary Chinese prose and essays, history, folk literature, and cultural books. Its list ranges from Sima Qian's complete edition of the Records of the Grand Historian to foreign classics such as The Book of Disquiet, All Quiet on the Western Front, Snow Country, The Stranger, and Jean-Christophe, as well as modern Chinese works including Teahouse and Dawn Blossoms Plucked at Dusk. Its authors and translators include Yasunari Kawabata, Fernando Pessoa, Erich Maria Remarque, Jin Xinyi, Zhou Miao, and Chen Chao. Public information is limited, but its catalogue reflects a balance between Chinese and foreign literary classics and historical and cultural works.

版权信息
推荐序一大数据的下半场，如何创新数据生态
推荐序二大数据的无限可能
推荐序三学习如何学习的能力
推荐序四自醒自觉，不被数据牵着走
引言我们为什么要认识数据的本质
第一部分数据主义，未来一切都将数据化
01 大数据不是独奏，而是不断连接、无处不在的数据
02 数据相关性比数据本身更重要
03 数据流动在于利益关系
04 伦理，大数据的关键破绽
第二部分数字经济引擎，智能商业的核心
05 数字经济引擎，预知未来的水晶球
06 智能时代，数据才是根本
07 数据，未来企业的核心资产
第三部分数据变现的四大场景
08 大数据助你活到120岁
09 消费金融，大数据变现的极佳场景
10 与“砂锅”对话的时代来临
11 神秘的数据异类
第四部分数据之王的数据化思考
12 他们，成就了完美世界
13 数据是送给天生逻辑客的盛宴
结语如果有一天，你拿到了“数据天书”

FAQ

Compared with similar data books, what is the greatest distinguishing feature of this book?

Its greatest feature is a strong "manager's perspective" and a "Chinese practice background." It does not dwell on complex technology but focuses on how data drives business decisions, and the cases and dilemmas in the book mostly come from the Chinese enterprise environment the author personally experienced, making it highly relevant in practice.

Do I need a strong foundation in mathematics or statistics to understand it?

No. The book focuses on thinking frameworks and strategic management logic rather than mathematical derivation. Basic business common sense and an interest in data are enough to read it smoothly and benefit from it.

Is the content also valuable to readers outside the Internet industry?

Very valuable. Data thinking is a cross-industry general capability. The author discusses in depth the unique challenges and solutions traditional industries (such as retail, finance, and manufacturing) encounter in the dataization process, and its core methodology is universal.

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About the author

车品觉 Author

Che Pinjue is a Chinese writer in the fields of big data and data-driven thinking. Public information about him is limited, and his nationality, dates of birth and death, and educational background are not clearly documented. The library currently holds 10 of his works, spanning computer science, management, motivational growth, artificial intelligence, and finance. His representative works include Decisive Battle with Big Data: Mastering the Weapon for Future Business and its upgraded edition, The Nature of Data, The Data Loop: The Core Layout of Digital Transformation, Buyi: Data-Driven Thinking, Small-Number Decision-Making, and The Power of Testing, as well as a three-volume big data reader for general audiences, Reading These Three Books Is the Only Way to Truly Understand Big Data!. His writing centers on data thinking, business decision-making, and digital transformation, aimed at managers and general readers in accessible language, with an emphasis on applying data methods to real operations and everyday judgment.