Jiangnan Cloth Successful Source Code: Three Steps To Achieve Data Driven
In China's fashion world, there is a pattern called Jiangnan cloth.
20, a few years ago, the designer, who was not much of a designer at that time, set up a brand to break the curse of designer's brand into the mainstream market.
market
The occupancy rate is the top more than 300 designer brands in the country. According to the 2017 fiscal year statistics, there are nearly 1800 independent retail stores in the south of the Yangtze River and 40 overseas independent retail stores.
Some people vividly summed up the achievements of the public in the small market of Jiangnan cloth. In the 2017 fiscal year, the revenue of Jiangnan cloth clothing exceeded 2 billion, of which the contribution rate of the members exceeded 60%, which made the member management of Jiangnan cloth dress one of the popular courses of some training platforms.
At the same time, although there are many designer brands, including women's wear, men's wear, children's wear and household goods, for different segments of the crowd, but for today's popular customization and personalized needs, the designer positioning Jiangnan cloth also clearly does not consider.
Sticking to your heart and knowing how to choose, this should be one of the source codes for the success of Jiangnan cloth.
Looking back on its innovation path, whether it is full channel operation or new retail trial, most of them are based on rational planning and reasonable trade-offs.
Fang Lei, director of information services in Jiangnan Province, has been responsible for the construction of commodities and channel members in the whole province since 2014.
More than ten years of experience in retail information, Fang Lei has a clear understanding of new concepts and new concepts that are full of fashion retailing. For big data, block chain, artificial intelligence and other innovative technologies, it will not be because of high technology, so high technology must insist on solving the pain point.
In 2017, Jiangnan Buyi chose FineReport to sort out data, build a unified report platform, eliminate data islands, and provide real-time and efficient support for operations and decisions.
And through data sorting, solving problems, and ultimately achieving full data driven, it is the core of the three step data planning in Jiangnan cloth.
Data structure and strategy of Jiangnan cloth clothing
In the process of promoting full channel commodities and membership operations,
Jiangnan cloth clothes
E-commerce, micro business, official website and other online platforms have produced a lot of data.
There are structural data and procedural data.
Fang Lei introduced that Jiangnan Buyi is more concerned about the structural data, such as the quantity, purchase volume, unit price and so on, which are part of the core data of Jiangnan cloth and clothing.
And for process data, it comes from the complete process of customers entering the mall, putting the product into shopping cart or collecting, then buying, paying, and having the goods returned or not. Each core point will reflect some information, that is, why customers enter the mall, what interest is there, and whether there is potential to buy again.
Similarly, the behavior data will be wired, and information can be obtained by means of face recognition and RFID technology, so as to enhance the integrity of enterprise data collection.
Fang Lei called it "offline electricity supplier" to solve the problem of inverted triangle.
Collecting online and offline complete data and analyzing behavioral data are all directions for data value realization.
At present, Fang Lei's most consideration is to solve the problem of data intersection.
That is to say, there is a correlation between the internal data of an enterprise, such as the goods that members are interested in, and the business department will provide different combinations of goods from the perspective of members.
This will involve internal financial data, product data and member data access, and make overall analysis under the premise of getting through.
At the same time, data to be opened and analyzed will not only come from the internal system of enterprises, but also the external data generated for the third party platforms and channels, which may be based on different systems, or some data on the cloud.
And which data is the object of integration, or based on Fang Lei's previous criteria: whether it is needed or not.
In addition, some of the data may not be used at the moment, or have no value, but with the development of technology and business, it will be used at a certain stage.
For example, the data of Jiangnan Buyi ordering society will not be retained before, but in Fang Lei's view, this data is also very important. By comparing the quantity of orders, we can understand the characteristics of dealers and the regional market.
To make these structures complex and different data sources of value, Jiangnan cloth clothing from a long-term plan to consider the data strategy and layout.
For external data, Fang Lei's advice is cautious.
Some labels have a lot of data that look very beautiful, but for those not necessarily all inclusive, it depends on the needs of the enterprise.
The three step is data planning to achieve full data driving.
In choice
FineReport
Before, Jiangnan cloth Yi had chosen similar tools to practice enterprise data strategy.
But in the process of propulsion, the data generated by different systems can not be integrated through the original tools, and can only be processed separately from the data of different systems such as supply chain, finance and distribution.
These data islands can not achieve the data intersection mentioned by Fang Lei, and support for operation and decision-making is also very limited.
Therefore, there is an important prerequisite for the data planning of Jiangnan cloth and clothing, which is to establish a unified data platform.
This is exactly the core advantage of FineReport.
At the same time, its simple and easy operation characteristics also make the production of one hundred or two hundred reports in the short span of two or three months under the premise of relatively complex data.
To sum up in Fang Lei's words, this tool is really good enough.
Besides good use, rich graphic display templates are also important features of Fang Lei.
Before most of the reports were displayed through the form of data, in addition to the structure of a single inconvenient comparison, the table will be particularly long.
Through graphical display, more intuitive comparison can be achieved at different latitudes, providing greater support for operation management and decision making.
In the process, the function setting of FineReport also provides a good reference for some process control of Jiangnan cloth.
For example, in the reporting tool, the function of device approval notification will avoid the problem of management view and approval lag in the process of submission of reports.
With regard to this part of the function, fan soft engineers spent more than a year to understand the business processes and requirements of Jiangnan cloth and put forward improvement strategies.
In addition, in Fang Lei's view, the value of statements is not only for reporting purposes.
More importantly, we can solve problems and find problems.
This is also the second step of data planning in Jiangnan cloth and clothing.
Therefore, the report of Jiangnan cloth has set up different subjects such as O2O, member and goods management.
This way changed the original report only for the boss to see the situation, departments, departments and departments can combine the data provided by the report to discuss and compare, find the system and process problems quickly, and make relevant decisions on the basis of data analysis.
In the interview with ENI, Jiangnan Buyi is pushing ahead with the first two steps of data planning, that is, building up all business modules on the basis of completing the building of important business modules.
At the same time, on the basis of realizing the unified data platform, we invest more energy to refine and realize data collection and display. This is not a simple superposition, but a collection of data.
The last step is actually the goal of Jiangnan cloth data strategy, that is to achieve complete data driven.
When the platform runs long enough to form a set of management logic, we can find out the problem through data analysis, and how to optimize and enhance the business.
This is a problem that needs big data mining to solve. "
Fan soft also has tools for data mining, but if we need business intelligence to dig up support for such tools, we need to harass existing models and make it clear that tools are only a practical way, "Fang said.
In the process of gradual development of the cloth data planning in the south of the Yangtze River, the digital culture of the enterprise has also formed rapidly.
Management and business departments have formed a consensus that data is important enough to strengthen the determination to build a unified data platform.
For IT departments, what needs to be done is to maximize the needs of management and business departments.
At the same time, data driven management promotion is a gradual process, on the one hand, it needs the training of data talents.
In addition, we need to consistently tap data value and process optimization.
Soft cooperation with sail: Tao and Tong seek each other.
For Fang Lei, Dao Tong is based on two aspects, first of all, professional.
Some software companies do their work on the chest and promise to get everything done.
When I do it, I find it different from what I knew before, then I think about it, discuss it and continue to implement it.
When you wait on the line, you will find that there will be no small difference with the initial commitment.
But the soft way of sailing is to understand and think deeply before developing and designing the process that they are not familiar with.
At the same time, it will interact with the responsible person in all aspects, which are what they can understand and which need to be discussed.
This work took more than a year in the Jiangnan cloth clothing project.
Followed by dedication.
The engineers who sail to the south of the Yangtze River are basically treated as employees of Jiangnan Buyi.
On the one hand, we can consider the problem from the perspective of the needs of Jiangnan Buyi company, and not only help customers build a tool from the perspective of the implementers.
In addition, even if it is a business trip, some problems will also work overtime.
In New
Retail driven
In the big data hot industry background, data-driven has become a very high frequency word in fashion retailing industry. To truly realize data driven, we need a set of suitable tools and professional partners, and it is more necessary for enterprises to clear their needs and plan rationally so as to achieve the goal set.
The big data planning of the three steps in Jiangnan cloth clothing provides a reference version for the industry.
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