Digital Revolution

Since figures have been invented,  it's very an convenient tool. 
In ancient times, humans use figures to communicate and record. 
Until now, the significance of figures represents is still very powerful.  
This year comes to the web 3.0 era, and figures have been given a new meaning. 
Google search engine created a huge online database, and collected a large amount of network information. 

In the past, these data can not be fast computing, such information is rubbish. 
Parallel computing techniques can accelerate data from Google operations, these data have been instantly turned into gold.In the past, marketing staffs always rely on a market survey to obtain data in order to analyse  marketing strategies. 
To provide such information at the same time, I have always words with a reservation: "reference data, not the current market conditions." 
Because of inadequate sample size, these data have been unavailable. 
Human beings are not rational, so their words always inconsistent with deeds.

Network data are more meaningful

Data under the evolution of computer technology have become more meaningful. 
Especially the behaviors that browsers have used and which pages they stay. 

Click which button, boys usually see what kin of pictures? What are you interested? 
What type is girl's favorite? 
These problems can only guess or experiment using a questionnaire. 
It's now available through a huge cloud computing technology secretly track your every move on the network. 

According to the integrated result, the right remedy which is base on your network behavioral patterns of commercial advertising will be given to fit your favorites.o r link directly to the shopping site and let you buy. 

In the past, these obscure figures or historical network information can be monitored immediately. You can know you are on my website and did something. 
It sounds terrible, but for producers and enterprises, it is convenient. 
Because the existent purpose of manufacturers is to meet customers' needs, and these data couldn't be analyzed in the past. But now, it can be analyzed! 

Therefore, it is able to understand what customers need and meet their needs. 
Being able to buy products which meet their needs, it is good for me.

The second revolution of retail industry

Traditional grocery stores, their purchase, sales and inventory are always relying on the elder's experience. 

The rule of thumb may rely on intuitive judgment. It's not bad, but just magical. 
Sometimes we are in the unknown situation, but always have a way to make a right decision. 

In the mechanical logic of thinking, it is incomprehensible. 
But if all conditions are very clear, you do not have to rely on the intuition. 
Convenience stores, supermarkets and department stores are relying on huge sales data. 
And according to sales data, changing stores merchandise shelf decoration makes sales revolution.

The most famous case in marketing is U.S. Walmart.

When the day comes to Friday, nappies and beer will be placed on the checkout basket. 
After a marketing survey has done, marketers found that American women called their husband to buy diapers in the Friday. 

Then, the husband would easily buy the beer that they want to drink. 
As a result, Walmart changed shelf furnishings, and put nappies and beer together in order to increase the amount of sales of two products.

The fashion industry has to learn from digital

Zara dominates global fashion industry. The factors of success are not only suspected of copying designs of top brands but also analysing sales data of clothing products. 

Yes! Actual sales data is a reference to one of the factors, but the network on the browsing data and community data can not be ignored, which are also important references. 
Because the sales data have met the demands, which are also purchased information, the individual analysis of unmet needs can be done through product categories on the site. 

For example, Zara male trousers products are  the most browsed category on the internet, but in fact trousers sales data are very poor. 
 Comparing both of data, you can see that trousers are not designed to meet consumers' demands. 

However, consumers want to buy a pair of trousers, but the cutting is not good. 
The marketers of fashion industry must rely on the figures to make rational judgments, and this is the only way of industry in the future.