The fourth economic revolution centered on information technology has brought the global economy into a period of digital transformation. For today's enterprises, digital transformation is no longer an optional topic that can be done or not, but a mandatory topic that must be put into action .
From the practical experience of digital transformation, we can know that the data assets of the enterprise are the data base of the digital transformation of the enterprise, and the data assets of the enterprise must be well managed in order to effectively carry out the digital transformation of the enterprise.
The data management of enterprise data assets requires a data asset framework to support the display, recording, and analysis of data assets. The data asset framework can clarify the data assets owned by the enterprise, realize the safe sharing of data assets, improve the quality of data assets, and realize the realization of data assets. and other data management objectives.
Let’s talk about the data asset catalog management of an important part of the data asset framework. Through the construction of the data asset catalog, the effective management of enterprise data assets can be realized.
1. Policy support:
We can find from the relevant data management policies of the banking industry, an industry with relatively mature data governance, that from the state to the China Banking and Insurance Regulatory Commission to the People's Bank of China, relevant guidance policies have been issued between 2020 and 2021, making it clear that data is a factor of production and giving Guidelines for Data Governance Construction.
2. Enterprise needs
From the perspective of the enterprise level and the thinking framework of the digital transformation route, the enterprise analyzes the industry, strategic vision, clarifies measures, and plans from top to bottom, making it clearer that enterprise data assets are the solid foundation for the entire digital transformation and digital operation.
3. Development trend: data asset management is becoming one of the data management trends
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Data asset management is becoming the transformation direction of data management work
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The concept of data capitalization and data asset management further promotes the transformation of past data management work into data value
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Data asset-oriented data management can connect metadata, data standards, data models, data quality, data security and other management tasks to guide the value of data on the business side.
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Customer-centric, value-oriented, to achieve efficient data asset service system and data mining analysis
1. Data asset management has three aspects: management perspective, management function, and organizational system
2. The data asset catalog system is a classification and organization method for enterprise data resources
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Data asset management is becoming the transformation direction of data management work
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The concept of data capitalization and data asset management further promotes the transformation of past data management work into data value
-
Data asset-oriented data management can connect metadata, data standards, data models, data quality, data security and other management tasks to guide the value of data on the business side.
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Customer-centric, value-oriented, to achieve efficient data asset service system and data mining analysis
1. Questions and Suggestions
2. Construction steps
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The first step: asset sorting (data asset inventory and supplementary and perfect data asset information)
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Step 2: Framework design (business perspective, industry model, successful experience in other industries, business standards)
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Step 3: Data label design (data classification and classification, data sharing, data accountability, data desensitization, data quality, business process, business entity)
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Step 4: Associating Assets with Catalogs
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Step 5: Data asset labeling (data asset catalog and data label form a network data retrieval system)
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Step 6: Platform Management
1. The relationship between data labels and data assets
Data tags and data asset catalogs form a network classification function for data assets. We can use catalogs and tags to classify and classify data assets and add management attributes. Use the data management platform to quickly and easily retrieve and organize data assets.
2. How to manage the data asset catalog and its application scenarios
Data asset directory management includes directory maintenance and directory security rights management. Directory application scenarios include data asset visualization applications, data asset directory services, and data analysis application scenarios.
- Case of data asset management of a financial company -
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Step 1: Building Paths
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Step 2: Directory Construction
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The third step: landing on the platform
