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How does data analysis solve business problems? Here is a super detailed introduction
2022-07-27 09:59:00 【InfoQ】


- It is said that big data is powerful , But what use does it have for enterprises ?
- Here's a piece of data , How to understand its business meaning ?
- In the report, there is only year-on-year comparison , How to do in-depth analysis ?
- ……
- Understand the business model and business development
- Master the basic methods of interpreting business data
- Have the ability to build analytical ideas for specific problems

- Concept ( The first 1、2 Chapter ): Understand business analysis . The concept of business analysis , Business model + The concept of industry classification , Business analysis and data analysis 、 The difference between data mining , Detailed introduction .
- The basic chapter ( The first 3 to 5 Chapter ): Have a comprehensive understanding of the business situation . Introduce how to build the data index system required for analysis . Take input-output analysis as a clue , It introduces 13 A primary method of insight into data .
- Advanced ( The first 6、7 Chapter ): How to solve problems accurately . For the most important sales in business / Supply two issues to discuss , In depth introduction to how to build sales 、 Supply analysis system , Establish data monitoring and evaluation model .
- High level ( The first 8、9 Chapter ): How to gain insight into the problem . This section introduces the methods of user insight . Combined with the scenario of product operation , Natural growth rate 、 Prospective analysis, etc 7 An in-depth analysis of the topic .
- Application articles ( The first 10 to 17 Chapter ): adopt 7 A case study on the application of business analysis . Including traditional enterprises 、 Scenarios of Internet enterprises , And the problems we often encounter in our work , Such as “ The leader asked me to think more , To do !”“ The business department does not recognize the analysis results , To do !” wait .














- Data Analyst 、 Data operations 、BI analysts 、 Data product managers and other data professionals, Through this book , You can see the application ideas of data in business scenarios , To improve the quality of work , It's helpful to pass the interview .
- User operations 、 Commodity operations 、 Sales management 、 Market planning 、 People who often deal with data, such as product managers, Through this book , Be able to understand the basic thinking of data solving business problems , Understand the role of data .
- Students who want to learn data analysis 、 Entrepreneur 、 Professionals. This book is easy to understand , Suitable for use , Can quickly understand the overall picture of data application . Lay a good foundation for further study .



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