In the era of big data, big data contributes to the development of traditional enterprises.

The era of big data: big data helps the development of traditional enterprises.

1. Does big data help enterprises understand users? Through correlation analysis, big data organically connects customers, users and products, personalizes users' product preferences and customers' relationship preferences, produces user-driven products and provides customer-oriented services. ? From the perspective of big data technology, using data to guide the growth of enterprises will no longer be just a slogan. According to Ceng Liang, vice president of Baidu, from the perspective of mining, through the analysis of 6 billion retrieval request data every day, they can find the audience behavior characteristics of a certain brand, and then feed it back to the brand and product R&D department of the enterprise, so as to understand the target users more accurately and launch products that match the tonality. ? Using big data, we can not only discover social and business forms that adapt to the development environment of enterprises from the data, but also use data mining and insight into users' and customers' attitudes towards products to accurately discover and interpret many new needs and behavioral characteristics of customers and users, which will definitely subvert the traditional market analysis mode that enterprises rely too much on subjective assumptions in the process of user research. ? 2. Big data helps enterprises plan production? Big data not only changes the way data is combined, but also affects the production and provision of enterprise products and services. Using data to plan the production structure and process can not only help them explore the way of value combination that traditional data can't know, but also provide relevant one-to-one solutions to the detailed problems brought by the combination, thus providing guarantee for enterprises to carry out production. ? In the past, the so-called business intelligence was often "wise after the event", while big data allowed enterprises to predict the future direction and help enterprises "plan ahead". The virtualization characteristics of big data will also greatly reduce the business risks of enterprises, and can give relevant definite answers before the launch of production or services, so that production and services are targeted. ? 3. Big data helps enterprises lock in resources? Through big data technology, enterprises can accurately lock the required resources. In the process of enterprise operation, enterprises can collect and analyze the mining methods, specific conditions and reserve distribution of each resource they need, and form a visual view of resource distribution based on enterprises, just like an "electronic map", which shows the advantages of virtual "point-to-point" in the form of data and images, making enterprise managers more intuitive.

4. Big data helps enterprises to carry out services? Through big data processing, social information data and customer interaction data can help enterprises to carry out horizontal design and fragmentation diffusion of brand information. Richard H. Thaler, an economist, once put forward a view that "a small change in personal views can evolve into a major change in the group behavior patterns of all people." Under the background of this great change, enterprises must pay attention to the tiny information flow, and customer service needs to be distributed in some details like air to cope with this situation.

5. Big data helps enterprises operate well? Through the correlation analysis of big data, according to the intersection and coincidence of market data of different brands, the operation direction of enterprises will become intuitive and easy to identify, and they will be more confident in brand promotion, site selection and strategic planning. ? She, the chairman of Mengbasha Group, is deeply touched by the navigation of big data to business operations. He couldn't help feeling, "Big data allows us to adjust our operation strategy in time. The current quarterly inventory sales rate has increased from 80% to 95%, and the 30-day out-of-stock sales can be controlled at about 10% of daily orders, which is three times higher than before.

The above is what Bian Xiao shared with you about the contribution of big data to the development of traditional enterprises in the era of big data. For more information, you can pay attention to Global Ivy and share more dry goods.