How much business do you need to know to do data analysis

Hello everyone , I am a little girl who loves learning xiong Xiong Mei .

Guys often hear such a sentence ：“ Data analysis needs to understand business ！” What the hell is business ？ How much do you know to understand business ？ Let me share with you today .

One 、 What is business

Business is relative to technology and Administration , It is a popular name in an enterprise ：

• financial 、 logistics 、 Regular departments such as human resources , Generally referred to as the ： Administration
• Development 、 data 、 Operation and maintenance and other technical departments , Generally referred to as the ： technology
• sales 、 market 、 operating 、 Product and other departments , Generally referred to as the ： Business

Intuitively , Business is the Department responsible for creating value for the enterprise , And technology 、 Administration , They are all auxiliary workers who support them . however , In an Internet company , Will be in the studio / Form of project team , Put the product 、 Development 、 Operations work together . At this time, business refers specifically to products 、 Operation and other work , Corresponding , Development 、 Data is technology .

Two 、 What is? “ understand ” Business

Know the business , Simply put, it means knowing what the business is doing . Because different industries do things differently . therefore , Know the business , Is not the only answer , It is By industry To understand . It includes five levels ：

• first floor ： What does this industry do （ goods ？ Customer ？ Way of business ？）
• The second floor ： What is the position of this company in the industry （ Big brother on the list ？ Follow the class younger brother ？）
• The third level ： How is the division of labor in this company , Which piece are they responsible for ？
• The fourth level ： Specific to Department （ sales 、 market 、 operating ……） How does it work ？
• The fifth floor ： Specific to a job （ Operating activities 、 Market planning ……） How to carry out ？

3、 ... and 、 Why understand business

Many novices will be curious ： Do data , It is obvious that SQL、Python、BI Tools , I studied statistics 、 Operations research 、 Algorithm , Why understand the industry ？ There are three important reasons .

1、 Problems to be analyzed , From the business .

Problems of daily analysis , Is often ：

• Why is the conversion rate low ？
• Why? DAU down ？
• Why is the activity not up to standard ？

At least know first ：

• What is it APP？
• What products are transformed ？
• There are several steps in the transformation process ？
• What are the activity rules ？ How to promote ？

To analyze the cause , Otherwise, how to analyze it ？

2、 Data to use , From the business .

Data doesn't fall from the sky , It's collected from the business process . Different processes , The data collected is also different , Do not understand business processes , It's likely that there's no data , Let alone analysis .

3、 Select analysis method , To paste the actual business .

Many novices don't understand business , Random analysis , Make a lot of jokes

• “ I found that sales were poor in February , We have to improve quickly ！”
• “ I use regression model + Stepwise regression , Found that the greater the discount , The more users buy ！”
• “ I pass the clustering model , Discover our users 70% It's just 1 Secondary consumption yeah！”

This conclusion , Often sprayed by colleagues in the business department ,“ crap ！”“ of no avail ！”“ I already knew ！” All in all , Not combined with business , The people who do data analysis are the same as the acid scholar in ancient times , A mouthful of it , It's useless to do anything .

So ： Understanding business is necessary . But so many things , How to understand it step by step ？

Four 、 How to understand business ？

No hierarchy of business , First and second floor , Is relatively basic and fixed . For a while , The industry classification in the market will not change much , For example, the common classification of traditional industries is shown in the figure below .

therefore , These basic industry information , You can pay attention to... Through industry reports and industry news . Everyone is very interested in the Internet , Can pay attention to ：36kr、 Tiger sniff and other industry news websites , Or from airy 、 Industry research websites such as Analysys download industry reports , Supplement basic knowledge .

The third, fourth and fifth floors , It has something to do with the specific company . We need to summarize more in our daily work , More observation . however , Internet and traditional enterprises , There are some relatively fixed business scenarios . If you are interested , I'll share it later .

5、 ... and 、 Particular attention

It should be noted that , Many, such as wechat 、 TaoBao 、 Meituan 、 Tiktok super APP, They are all platform type App, It actually contains many kinds of business . Not a single business （ Here's the picture ）.

therefore , You can't simply think of ： E-commerce is selling goods , Opening the live broadcast is to kill brother Bangyi . East platform , It's not a big hadron express , Milk tea girl as customer service …… Although we as consumers , Only one of these services is used , But the platform itself is very rich .

Want to understand how the internal division of labor , There are two ways ：

• search 《XX The organizational structure of the company has been adjusted 》《XX Change of company 》 This kind of keyword , The structure adjustment of general large companies , Will send news , The news will introduce that the company is divided into several business departments , About what .
• Go to the job search website , search XX Lower positions of the company , Focus on which business units are hiring , Then take the names of these business departments , Search one by one ： What does this department do .

So much information is collected , And I know more . Although the process is very hard , But in order to enter the big factory , It's still worth it .

This is today's sharing , If you like , I'll take eight typical business scenarios , Share with you how to do analysis , Please wait .

author ： Sister Bear . New in the data world , Like data analysis 、 data mining .