Big data asset value delivery management method and system

Abstract

The invention discloses a big data asset value delivery management method and a big data asset value delivery management system. The delivery management method comprises the following steps: step 1, adata acquisition and capitalization step; step 2, a theme story line establishment; step 3, a data preparation / data exploration step; step 4, a service rule and algorithm loading step; step 5, a visual scene delivery management step; and step 6, a forming step of a scene template and a knowledge management system. According to the big data asset value delivery management method and system provided by the invention, a user can directly view and operate big data from data capitalization, so that delivery of a data application scene is customized and developed from a traditional one-way supplierto a scene where the user can autonomously realize data value change; an asset owner is enabled to truly have the ability to quote and govern data assets, and a specification and a standard of a datacenter for data application delivery management are established.

Description

technical field [0001] The invention belongs to the technical field of big data application value exploration and delivery management, and relates to a data delivery management system, in particular to a big data asset value delivery management method and system. Background technique [0002] The migration and transition of IT centers to the cloud will be a transformation that most enterprises will complete in the next 3-5 years. Whether it is the existing network security, IT operation and maintenance, or the structure and mode of business management, earth-shaking changes will take place. In the existing IT center, the traditional management and operation model centered on software and hardware assets such as hardware, network, and database will be completely transformed into an operation model centered on cloud users' application services and data assets in the future. [0003] Faced with a large amount of data in all walks of life, traditional data warehouse, BI and oth...

AI Technical Summary

Problems solved by technology

[0004] There are many cloud business applications and data sources, but for users, the value of data assets is difficult to reflect

The difficulty lies in the fact that existing data assetization is mainly oriented to physical data category management, storing and managing a large amount of data in categories; however, there is a lack of management methods for the internal application and mutual application logic of data assets for data application and value mining, and the original data A systematic value transformation methodology and system implementation for assets to achieve their final value presentation (delivery) after they go through a standard processing flow system

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