The weather was good for the website on Monday
2023-04-17What are the methods when optimizing a website after it is designed and built?
2023-04-21Regardless of the individual element brands analyzed, it is an obvious fact that these brands are often not associated with a single product, but rather a brand can be accompanied by a variety of distinctive products. This pattern is most prominent in the automotive and computer industries.
Not every enterprise has big data resources. In addition to the domestic Baidu, Alibaba, Tencent, foreign Google, Amazon, Facebook and other Internet giants also have a wealth of big data resources, while most ordinary enterprises lack big data resources, the data they have can only be considered "small data". Big data and small data are the products of the data environment. We waist to use small data to design personalized services, we must learn to distinguish the data in the face of big data or small data. There is a simple principle to distinguish big data or small data, that is, through the amount of data, the type and format of data, the speed of data processing, the complexity of data to confirm the four aspects. Small data has less volume, less variety, less format, faster processing speed and less complexity, while the opposite is big data. In practice, big data can be broken down into small data, and small data will become big data when it reaches a certain amount. What can be used by most people is the small data with less volume, less variety, faster processing speed and lower complexity. The use of big data also depends on the further development of data technology.
Big data era prophet Victor Meyer, Schönberg once said: "In the modern business sector, the power of big data is actually reflected in the personalized small data a whether the Internet era of e-commerce or traditional store, the key to win or lose will be data analysis, precision marketing, emotional maintenance.
The implication is that small data for the rest of the industry in general, more practical than big data. This word also reminds the business, in the face of the Internet's massive data, do not dwell on the data, small data, to focus on those who can provide the basis for business decisions on the data. And for those enterprises that have not accumulated any data, the first task at hand is to build up their own data awareness. Only with data awareness, to dig according to the personalized small data, in order to provide personalized services for users by mining the value of small data.
In business, there is no excuse for strong businessmen to use big data, but in the face of relatively weak human and financial resources, it is wise to choose personalized small data to seek development in the data era, which can basically solve the current practical problems of enterprises. Securities companies seeking development in the wave of the Internet, mining the value of small data, can provide personalized services and personalized precision marketing, so as to obtain the momentum of development. In the era of big data, securities companies face a lot of difficulties when digging up big data. In order to dig up the value of big data, they need to spend huge financial resources to buy equipment and software and train big data talents.