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What Does Big Data Analysis Bring To The Clothing Industry?

2013/11/7 12:42:00 112

Fashion ConferenceBusiness ElectronicsEnterprise

< p style= "text-align: left" > every year China's "a href=" //www.sjfzxm.com/ "clothing conference" /a will set some topics according to the hot spots of the industry. 2013 the 4 parallel meetings of the Chinese clothing Convention are different topics, but some topics have been mentioned in the previous two years, and the topic on the application of big data in the clothing industry is the first time to discuss in the Chinese clothing convention. < /p >
When you go shopping in a shopping mall, 100 meters away from the destination, you receive WeChat or SMS from the mall, which reminds you that there is a brand on the third floor for promotion. When shopping in the mall and walking 5 steps away from a shop, you receive a text message to invite you to join an event they just started. WAL-MART is working on a container that filters out goods you don't like, and changes your presentation at any time. Why can we do that? Because they have a very strong data system behind them. < /p >
< p > big data is becoming a hot topic. Consumers generate unprecedented amounts of information every minute and second. How can we find valuable information from the precipitation data, dig deeper, make full use of it, spanform it into information and create value for enterprises? At the 2013 China fashion conference, Zhao Gang, general manager of Beijing Sai Chi Information Technology Consulting Co., Ltd., Duan Yongzhao, the first Strategic Officer of SEEC group,, senior Internet observer and Dean of DCCI Internet Research Institute, the founder of clothing cloud platform, and Xu Bin, the chief management expert of Taiwan frontier consultants, discussed the "big data". < /p >
< p > < strong > what can be done? < /strong > < /p >
< p > < strong > provides greater value for leaders' decision-making < /strong > /p >
< p > Zhao Gang, general manager of Beijing Sai Chi Information Technology Consulting Co. Ltd., believes that big data will have many effects on the business of garment enterprises, such as product recommendation to customers, product design based on customer feedback, product marketing in the network community, rational advertising, prediction of fashion trends, product pricing based on spanaction analysis, and causes of environmental analysis based on customer preferences. < /p >
< p > < < a href= > //www.sjfzxm.com/news/index_q.asp > > Business Electronic > /a > platform, collecting and analyzing user data is a very important aspect of big data application. Zhao Gang said. In addition, based on customer feedback, enterprises in the Web2.0 era can interact more with customers and communicate with customers continuously. The comment information can reflect the customer's experience of the product, and put forward more and higher requirements for the product. For example, some people would say, "if there are other colors like it better", "what kind of things should be matched, it will be better", "unfortunately there is no child's windbreaker" and so on. It is of great value to effectively grasp and analyze these comments. < /p >
< p > "it will help us to improve product design, product pricing, customer service and improve the operation system." Zhao Gang said that although these data are scattered, we need to dig out potential values from these scattered data. Product design based on customer feedback is an important area in the application of big data. < /p >
< p > in addition, many hot topics in the online community tend to predict the release of some institutions before some fashion trends. The analysis of these hot topics can effectively and early judge the trend of fashion. "This should be the concern of the leaders of garment enterprises." Zhao Gang believes that this requires enterprises to think about how to effectively link the data of Internet communities and search engines, and predict the trend of fashion. < /p >
< p > a problem based on environmental analysis is also the benefit that big data can bring. For example, if logistics and capital flow are well controlled in the course of operation, sales volume is declining, which may be related to the big environment. At this time, we need to analyze the environment, whether our competitors cut prices and take away our sales volume, or because of the weather, or some information spread on the social network has led to changes in our external environment. Analyzing the environment can effectively detect the external business environment facing the enterprises. < /p >
< p > "this is the application of some big data that can be seen in garment enterprises. Of course, big data will involve all aspects of enterprise operation, and the collection and analysis of these related data can provide greater value for business leaders to make decisions. Zhao Gang said. < /p >
< p > < strong > how to do? < /strong > < /p >
< p > < strong > success depends on the Internet gene < /strong > /p >
P > about big data, and there's a different voice in the last few days. Some people think that this concept has been exaggerated and somewhat "gone with the wind", which makes people a little behind the times. Some even suspect that big data is a new propaganda device for IT manufacturers or service companies. < /p >
Duan Yongzhao, chief strategist of the P media group, believes that any trend comes with a variety of voices, making people feel frightened, frightened and overwhelmed. At the same time, they feel that this trend is reasonable. After a while, this trend is likely to be settled. The concept of big data is in the state of "thousands of trees and pear blossoms". However, whether companies can successfully use big data depends on the number of Internet genes. < /p >
< p > "as a boss, the board of directors must make decisions and not worry about technical problems. Technology is never the first issue. What are the first questions? Goals, decisions, and customers themselves. Duan Yongzhao said that to become an Internet spangenic enterprise, enterprises will face many challenges: first, whether they can cross the border. In the past, the clothing industry in the narrow sense is clothing, hat, < a href= "//www.sjfzxm.com/" target= "_blank" > shoes < /a > socks. Actually, it is not a simple narrow sense of the industry concept, it can mix up other industries. For example, Nike can cross borders to children's sports psychology, medical treatment, health care and so on, so there are hundreds of creative ideas every year. It can invite partners, customers and consumers to innovate on Nike at any time. < /p >
< p > secondly, create an innovative culture, customers need a smooth experience, where the customer experience has stagnated, that is, the infrastructure, organizational structure, business processes, personnel settings, and even problems of ideas. < /p >
< p > Duan Yongzhao thinks that in the age of big data to become an Internet spangenic enterprise, we must grasp three key points: first, install a data engine, if not, we must find a technology company to help. Second, we must try to portray data around data, around customer behavior and experience. What is it trying to imagine? What is the behavior of consumers behind data? Three, create data chain. When you have imagination and data, you can look back at the procurement and marketing links to see if you can support such a game and let it lead your production and manufacture. < /p >
< p > must spanform your enterprise gene. Let him have more Internet color, so that you can remain invincible and achieve win-win results with partners. Duan Yongzhao said. < /p >
Xu Bin, chief management expert of Beijing frontier consultant, also believes that in the clothing industry, every entrepreneur should have Internet thinking. Before doing anything, think about whether P can be made simpler and easier, more efficient and cheaper by Internet. < /p >
< p > "big data is an information revolution taking place. It has been talked about for many years, but now it is more powerful, because many changes have taken place in reality, and the rise of mobile Internet is a catalyst. Liu Xinliang, the Internet industry's senior observer and DCCI Internet researcher, believes that the "a href=" //www.sjfzxm.com/news/index_s.asp "enterprise" /a should be in line with the trend and conform to the trend of the mobile Internet and the trend of cloud computing. < /p >
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