Shulou(Shulou.com)11/24 Report--

Recently, the data warehouse construction project jointly created by Park Road Credit Information and Dipp Technology has been officially launched. In this project, through the construction of data warehouse and index management platform, Dipp Technology combs and implements a set of credit data index system for it, comprehensively improves the quality of Pudao credit data, supports the development needs of business visualization analysis and operation, and fully releases the value of the data.

01. Customer introduction:

Park Dao Credit is the second market-oriented credit organization in the country that holds a personal credit business license and completes the enterprise credit business record at the same time. The company collects all kinds of credit data through compliance, and carries out a series of analysis, arrangement and processing of the data. As well as in-depth mining and analysis of non-credit substitution data, form a rich data product system, identify and judge the credit status of individuals and enterprises. Provide independent, inclusive, fair, professional and safe credit products and services.

02. Project description:

Credit information business needs to connect data sources, technical processors and financial institutions, which naturally has a strong demand for high-quality data. Under the background of the increasing demand for data statistical analysis, in order to quickly respond to the data statistical needs put forward by business departments and speed up the speed of daily data processing, Park hopes to build a data warehouse to precipitate business data into data assets. support visual analysis, operational decisions, promote credit product innovation, and build the ability of data-driven business.

In October 2022, Dipu Technology officially held hands with Park Road Credit Information. According to the digital demand of Park Road Credit Information, Dipp Technology has built a data warehouse based on real-time intelligent lake warehouse FastData, and created an index-label management platform.

03. Project results:

Build an indicator management platform to precipitate data assets

Sort out the overall index system and label system based on the main business value chain, unify the caliber of index data and label data, facilitate follow-up index sharing and application support, and solve the problem of communication barriers between business personnel and technical personnel; complete the construction of more than 100 core index data and nearly 400 label data.

Optimize the subject domain & model of data warehouse to improve the efficiency of report

Centering on the credit business scenarios and business department requirements, Dipp Technology optimizes the theme domain and data model of Park Dao's existing data warehouse, and sorts out 8 categories and nearly 100 kinds of data quality audit rules according to data quality standards and business characteristics. to ensure that the data is accurate and available. At the same time, combined with the actual situation of the existing system, 188 models of each layer are optimized to support the data needs of business departments and the development of business work.

Construction of enterprise One ID system

This project completes the One ID analysis of the personal credit subject, and analyzes the credit information and other behaviors of the individual credit subject according to the calling parameters of the personal credit subject, so as to improve the accuracy of the enterprise's identification of the personal credit subject as an important preparation for expanding the personal credit information business in the future.

In recent years, the market scale of the credit information industry has gradually expanded. By 2022, China's credit information industry has collected 1.15 billion natural person information, 98.746 million enterprises and other organization information. In the face of the increasing scale and complexity of data, credit information business has a growing demand for high-quality statistical analysis of data governance data. Through this cooperation with Dipu Technology, it has effectively helped Park Road to unify data standardization, improve data quality, promote the release of data value, and further build a new ecology of credit scene, thus contributing to the high-quality development of China's credit reporting industry and digital economy.

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