It was McKinsey, a world-renowned consulting company, who first proposed the arrival of the "big data" era. It once described it as follows:
"Data has penetrated into every industry and business function area today and has become an important production factor. People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus."
If this sentence were placed 5 years ago, you might be confused. But today, big data has truly changed our lives, permeating every corner of food, clothing, housing and transportation.
▶ Clothes-every piece of clothing in the future may be tailored for you
▶ Food-food traceability and prediction, so you can eat more safely and comfortably
▶ Living-the city brain is upgrading your living experience
▶ Travel-traffic lights change in real time, saving you travel time
Have you found it? Big data is making cities "smart".
Looking at the 2021 node, in fact, in the past 10 years, big data has quietly upgraded our food, clothing, housing and transportation. Before we knew about big data, we were accustomed to its ubiquity.
Not only in daily life, but in the next 10 years, the keywords that will have the most profound impact on companies will also be big data analysis.
Customers are important data sources for enterprises. When a large number of customers are on the same platform, countless data sources will be generated. Enterprises analyze these data sources through comprehensive analysis of big data and explore big data passenger flow analysis. By calculating the potential map of the crowd heat index, the distribution of competing products and big data to identify the urban life consumption functional area, the user portrait can reflect the passenger flow situation and the potential of the passenger flow near the shopping center. A new set of rules will be summarized to help the company understand customers and determine the company’s more accurate direction.
Impact 1: Understanding user methods
Today’s customers are very different from the past. The rise of big data enables them to research products tirelessly before buying them and understand their consumption. Through the use of big data, customers, users, and products are organically linked to personalize users' product preferences and customer relationship preferences, thereby producing user-driven products and providing customer-oriented services. And from the data, discover the social and business forms suitable for the development environment of the enterprise, use the data to mine and understand the attitudes of users and customers to the product, and accurately discover and interpret the many new needs and behavior characteristics of users.
Impact 2: How to lock resources
Through big data technology, in the enterprise operation mode, the company can collect and analyze the mining of resources required in the operation mode, specific conditions and reserve distribution, etc., so as to form an enterprise-based resource distribution map, just like an "electronic map". Various advantages will be "point-to-point" data and graphical display, so that business managers can more intuitively view their own enterprises, and better use various existing and potential resources. Without big data, it will be difficult to find the correlation between behaviors that were once considered completely unrelated, just like the related marketing between "beer" and "diaper" mentioned in foreign media. Without big data, it is almost impossible to connect the two.
Impact three: planned production methods
Big data not only changes the way data is combined, but also affects the production and provision of enterprise products and services. By using data to plan production structures and processes, it can not only help them discover value combinations that cannot be known in traditional data, but also provide relevant, one-to-one solutions to the details of the combination, and provide companies with Provide guarantee for production. Better help companies to "prevent." The virtualization feature of big data greatly reduces the business risk of enterprises, enabling enterprises to give relevant deterministic answers before production or services are launched, so that production and services can be targeted.
Impact 4: Mode of operation
Using the big data analysis tool Smartbi, through the correlation analysis of big data, according to the intersection and overlap between the market data of different brands, the direction of the company's operation mode will become intuitive and easy to identify, in brand promotion, location selection, strategic planning The aspect will be more confident to face. You don’t need to make market forecasts every day like in the past, and you have to rely on your own resources, public relations and past cases to analyze and judge. The conclusions drawn are often vague and rarely get enough attention in their respective industries.
Impact Five: Service Development Mode
Through big data calculations, social information data, customer interaction data, etc., it can help companies in horizontal design and brand information segmentation. Business analytics software Smartbi and retail expertise can also help companies better understand the process by which shoppers increase same-store sales, reduce theft, and eliminate unnecessary costs.
With regard to the future development prospects of big data and the status quo of the demand for big data talents, the above is a brief introduction for everyone. The prospect of big data is good. There are both opportunities and challenges. As a technology developer, under the trend of big data, keep up with the technology trend and maintain a strong learning ability. Of course, under the trend of big data, business personnel can choose appropriate data analysis software, such as Tableau in foreign countries and Smartbi in China. It is necessary to use these data analysis software to improve their analysis capabilities.