Precision Marketing of Traditional Retail Industry The Charm of Big Data

Precision Marketing of Traditional Retail Industry: The Charm of Big Data

At present, Internet companies rely on data mining. At present, almost all the data generated by user experience can be used for data mining. From traditional retail enterprises to e-commerce, and then to the precise marketing of Amazon and Taobao, the value brought by big data to enterprises is constantly highlighted. When it comes to big data, it is hard not to mention traditional data processing and the impact of big data on the entire retail industry. So how should we understand big data?

Bai Linsen, CEO of Xinbai Technology, a domestic big data company, pointed out that big data is a process of dynamic insight and clear prediction. With insight, you can slowly enter the forecast. For example, for a traditional retail enterprise, its retail model will encounter a data bottleneck. In the past, the merchant himself didn't know which customer bought his things. Even if the merchant has a customer's membership card, the customer can't know who the customer is unless he takes out the card. Even if he takes out his membership card, he can't know the customer's consumption preferences and personal family situation. With big data analysis, consumers can be analyzed in an all-round way, and consumer portraits can be described, so as to carry out personalized and precise marketing.

So, can big data get the traditional retail industry out of trouble? There are two views in the industry. Some people think that big data is just an increase in the amount of data. From kb and MB to GB and TB, the enhancement of computing power will inevitably bring more data; Another view is that big data transforms raw data from date to information, and then transforms information into business.

So big data is a good tool. The key is how to make good use of this tool and convert it into numerical theory, that is, how to establish a network and how to establish a business model. For example, selling goods in a supermarket is not a simple process. According to customers' habits, supermarkets need to launch different products at different times and different time periods, and how to sell them. .................................................................................................................................................

With the development of big data business applications, more and more enterprises realize the value of big data, so how to make use of innovative big data? A vivid example can explain big data well. During the period of War of Resistance against Japanese Aggression, the commander of the Corps was often able to determine the position of the enemy headquarters through the guns and equipment seized. Because the captured equipment is advanced, it largely represents the location of the headquarters. Although this is not a typical example of big data processing, it can well illustrate how to use innovative big data technology.

Second, we need the support of the big data team. An enterprise must first have a sense of data drive. As a leader of an enterprise, you should make a decision first, but after making a decision, you need the support of the team. Because many applications of big data are at the executive level, how to integrate data requires data models of various systems.

In short, when the traditional retail industry changes to e-commerce big data, decision analysis, data analysis, data integration and team execution are needed first, which is an ideal big data change.

The above is what Bian Xiao shared for you about the charm of precision marketing big data in the traditional retail industry. For more information, you can pay attention to Global Ivy and share more dry goods.