On April 24, 2024, the “Entering the Abacher” event was launched in Ningbo, Zhejiang.This event is co -sponsored by the sheep and the Ningbo clothing industry giant Yagol, which aims to deeply learn the results of the digital intelligence practical practice of Yagore, and provide reference cases for the digital transformation of the nation’s clothing industry, and then promote the domestic manufacturing industry to use AI and other new productive forces.Accelerate the prosperity.
“Meeting Data Student” entered the benchmark series of activities. The sheep and the industry were leading the industry. They invited Qianxingbaiye into benchmarking enterprises to look at the model, learn advanced, exchange and explore data practice wisdom, and work together to take the wind and waves in the digital wave.
【Yagore Store】
【Yagore 5G factory】
In the first stop event, about 40 companies visited the Star of the Agaor Fashion and the Agaor 5G factory. Focusing on the difficulties, methods, and data applications of corporate data construction, we discussed how to optimize the development, design, production, marketing, etc.Each link.Wang Ye, the leader of the Big Data Group of the Yaga Group, Zhu Xianbo, the head of the big data of the Agaor Group, Wang Sai, Vice President of the Sheep, and Dong Fangying, the general manager of the sheep data system, attended the event.
Yagol began in 1979 and has a history of 45 years. He is a leading company in China’s textile and clothing industry.In 1994, the market share of the Yagore shirt ranked first in the country.On November 19, 1998, it was listed on the Shanghai Stock Exchange, focusing on high -end clothing brands, and starting from clothing to diversify the industrial territory, covering finance, real estate, textiles, and trade.Yagol is one of the top 500 private enterprises in China. As of the end of 2022, the total assets of Yagol Group were 97.4 billion yuan and net assets were 41.8 billion yuan.
In recent years, the global economic structure has undergone tremendous changes, and the real economy, especially manufacturing, has once again become the focus of mainstream attention.As early as 2017, Agaor began a digital transformation journey, introduced advanced digital technology and intelligent manufacturing, established data from Taiwan and smart factories, and comprehensively upgraded product research and development, design, production and marketing.By.
In the perspective of Yagol, data construction is not only as simple as following the trend, but also needs to serve the business locally.Wang Yan said: “The construction of the data in the data must come from the business to the business to achieve the normalization of data governance. Through cross -system data flow, the pressure of business application data is reduced, providing users with convenient services, promoting business, promoting businessImprovement “improvement”
【Abacher Group CIO Wang Ye】
Falling in the execution of data governance, the chief data officer (CDO) of the enterprise is facing tremendous pressure. For example, in terms of data governance, data definitions of different business lines and data barriers will be faced.Wang Sai introduced that the biggest challenge of the CDO is time and trust, and you need to formulate your own (principles direction), law (method strategy), and device (tool technology).In order to help CDO implement the digitalization strategy, the Dataphin’s Dataphin provides integration capabilities to help enterprises integrated construction, governance, and consumption. From the continuous delivery of original data to data value, the “construction and governance” of the data can be easily completed.Promote data assets, release the commercial value of data, and support the transformation of organizations to data -driven business models.
【Wang Sai, Vice President of Sheep]
In terms of data applications, Yagore’s experience is also worthy of the reference of companies with intentional digitalization.Wang Ye believes that the value of data is not only in the middle of the data, but how to be inclusive to the people in the process of building data.This means that data must be really effective for business.For example, in the accurate operation of members, Zhu Xianbo introduced: “Youngor has 4 1,000 strategies, two of which are 10 million members and each member consumption of more than 1,000 yuan.Value. In terms of member marketing, we can avoid the low conversion rate caused by the blind cluster through the analysis of membership labels.Customized marketing to reach customers more accurately. “
[Zhu Xianbo, the person in charge of the big data of the Abacher Group]
The sheep’s Dataphin played a key role in the Smart of Agore.The advantage of DataPhin is that it adopts a distributed data processing method to flexibly add storage and computing power. This is a “tool” for the big data department, and “good tools will save a lot of work energy.The tools are easy to use, and all our minds can focus on business and data. “Zhu Xianbo said.
In addition, in the process of data application, not only good data, but also the data is easy to use.In response to the convenience of data applications, sheep also has a series of intelligent applications. Dong Fangying, general manager of the sheep data system, said: “The reduction of the threshold and the improvement of efficiency are always the pursuit of data applications.With the ability of large models, and the accumulation of natural semantics and data visualization, we create a more intelligent and easier data analysis method that makes Quick Bi more intelligent and easier: Intelligent construction, including self -service use of data and building reports, auxiliary configuration and report beautificationEquation capabilities; intelligent questions, allowing users to obtain data through simple interaction methods. “
[Dong Fangying, general manager of the sheep data system]
Through data governance, construction and application, Agore’s business ushered in the second growth pole.The first stop of the “Classmate of Data” also provided more practical practical guidance for more companies.In the future, “Data Student” will walk into more benchmarking companies, work with leading enterprises to explore the digitalization of Chinese companies that jointly improve new productivity.
