How Can Garment Enterprises Pform In The Era Of Big Data?

Economic environment and service

With the changing trend, the above ten problems may be only the key proposition of the recent garment industry. With the coming of the new situation, new problems will inevitably arise.

As if there is no omnipotent.

Like templates, there are no standard answers to these questions, but for businesses, they must have answers.

The so-called honey, the arsenic is only, do you know how to distinguish honey and arsenic?

This is a new proposition that there are no successful cases in the industry.

Big data is becoming a new excitement for people. The fashion industry's people are beginning to wonder what the big data era means for clothing companies. What unexpected changes will happen in the future?

An important point emphasized by big data is data analysis.

Like most consumer goods industries, there is a lot of data and information in the clothing industry, but the motivation behind these data and information is often emotional.

Even if those rational data are of great help to the fashion and sensual industry of clothing, most enterprises still have no answer.

We think that we need to understand the three questions before we can grasp the basic data. First, what data do we need? Do not blindly collect, resulting in redundant information and too much time.

Second, how to get data? This is not because it is easy for more and more clothing companies to use ERP platform to collect the required data.

Third, regular data is not achieved overnight.

We can constantly feedback and improve data caliber in the process of practice, and gradually accumulate reliable databases for internal analysis and judgement in the process of constantly regulating, establishing norms and correcting.

Data analysts often find that the accuracy of many data is poor.

The obvious example is that many enterprises will have some problems such as product master data is not standardized, data access is inconsistent, or data upload system is delayed.

These problems are too small to affect the accuracy and timeliness of data analysis, which is likely to affect fact judgments or even major strategic decisions.

Therefore, the basic data of garment enterprises has become very urgent. The so-called "sharpening machine is not the wrong chopper".

However, regular data is not achieved overnight.

We can constantly feedback and improve data caliber in the process of practice, and gradually accumulate reliable databases for internal analysis and judgement in the process of constantly regulating, establishing norms and correcting.

How to process data? Many enterprises do not lack data, but do not know how to use them.

Many enterprises will get accurate data to the daily data of each day and ask how these data should be used. Many companies are too busy pursuing data analysis templates.

In fact, all data analysis is to serve the topic, and the topic should be flexible by different requirements of enterprises in different periods.

A rigid set of data analysis templates can only reflect the loss of thinking.