A method and system for automating inventory of data assets

Abstract

The invention discloses a method and system for automatically performing data asset inventory, including defining attribute requirements corresponding to metadata standards, obtaining data asset metadata sets; then defining a business system metadata automatic extraction method and model, and obtaining metadata in the business system Data collection; based on deep learning algorithms, define and train metadata standards and metadata automatic identification and similarity matching models to obtain automatic matching algorithms; automatically identify and match business system metadata collection models to realize automatic inventory of data assets, Get data asset catalog and data asset map. The present invention automatically extracts and generates data to be counted through the collection of metadata in the business system, and uses a deep learning model to realize automatic data matching, thereby generating a data asset catalog and a data asset map, thereby realizing comprehensive control over the storage and storage of data assets. whereabouts and users, to fully control the value of data assets.

Description

technical field [0001] The present invention relates to the technical field of inventory management of data assets, in particular to a method and system for automatically performing an inventory of data assets. Background technique [0002] After years of digitization and informatization construction, domestic enterprises already possess a wide variety of huge amounts of data, and with the continuous expansion of business scope and customer scale, the scale of data generated is also growing rapidly, which has great impact on data assets. The ability to control has put forward higher requirements. Data asset inventory work is a key link to control the content of data assets, clarify the stock of data assets, and recognize the value of data assets. Only by standardizing, standardizing, and systematically merging, sorting, and classifying data can the value of data assets be maximized. At present, the data asset inventory work of most enterprises is still in the exploratory st...

AI Technical Summary

Problems solved by technology

[0005] Enterprises have accumulated a large amount of data in the process of development, but how to convert data into data assets lacks a comprehensive definition of data standardization, and it is impossible to conduct a comprehensive inventory of data to form high-value data assets;

[0006] (2) Asset inventory is based on manual work, with low work efficiency and low accuracy

[0007] Enterprises have built dozens or even hundreds of business systems in the process of informatization construction, but the data structure definitions of business systems are not uniform, the same indicators or field definitions of different business systems are inconsistent, and there is a lack of unified data naming specifications and standards. The inventory process is cumbersome and consumes a lot of manpower and material resources, and the work efficiency is low; the lack of data asset association relationship makes it impossible to accurately grasp the overall application of data assets

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