Data product processing method for data quotient service

Abstract

The invention relates to the technical field of data products, in particular to a data product processing method for data quotient service, which discovers the value of a data product by acquiring information of the data product, performing analysis and function determination so as to subsequently innovate the capability of data service. Data products meeting business requirements are selected from the data products, similarity comparison is carried out on the selected data products, the data product with the highest similarity is selected from the selected data products, the data products are checked, efficient utilization of the data products is realized, data with specific values and meanings are extracted from the data products, excessive repeated data in an original data product is reduced, specific data can be applied to business requirements, the data is optimized and processed, the optimization result is scored, whether the optimized data can meet the business requirements or not is determined, the processed data is prevented from influencing use, and the effect of meeting the actual business requirements is achieved.

Description

technical field [0001] The invention relates to the technical field of data products, in particular to a data product processing method for digital business services. Background technique [0002] A data product is a form of product that can utilize the value of data to assist users in making better decisions (or even actions). It can act as an information analysis displayer and value enabler in the user's decision-making and action process. From this perspective, search engines and personalized recommendation engines are obviously also data products. Since the product form is relatively mature, they are rarely classified into the concept of data products. Layers of clothing, so that non-professional users cannot intuitively feel the existence of data. For example, the well-known Taobao Data Rubik's Cube, Baidu Index, e-commerce CRM platform, and various internal data decision support systems are all data products. [0003] In recent years, with the widespread popularizati...

AI Technical Summary

Problems solved by technology

In the daily operation process of enterprises, it is difficult to solve some difficult problems relying solely on their own data resources. Therefore, it is necessary to discover the specific value of data from big data to meet business needs. However, the existing data product processing methods , the data products will be processed directly, so that the whole processing process has a large amount of data. At the same time, it is impossible to revitalize the existing data products, and the utilization rate of data products is low, which cannot meet the needs of enterprises.

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