How to Maximize Data Asset Value: From DataOps to Monetization
This report outlines a comprehensive framework for turning raw data into valuable assets, introducing DataOps and panoramic data architecture, and detailing practical methods for data value assessment, asset circulation, and operational mechanisms to help enterprises build a solid value baseline and expand data asset applications.
This report starts from the two stages of data resourceization and data assetization. Building on previous research, it proposes DataOps (integrated data development and operations) and panoramic data architecture management as the current management model for enterprise data resourceization. Under the policy background of data elements, the report focuses on the data assetization stage and deeply analyzes three key areas: data value assessment, data asset circulation, and data asset operation.
It presents practical paths, including methods for evaluating data value, circulation mechanisms, and operational models, guiding enterprises to construct a value baseline for data assets, broaden and deepen the application of data assets, and ultimately maximize data asset value while returning to the essence of data asset management.
At a macro level, the report continuously tracks the latest developments in data asset management policies, theories, and industry trends, combines exemplary industry cases, and comprehensively presents hot topics and future directions in the field. It also offers recommendations to overcome challenges in data asset management, supporting the healthy and orderly development of China’s data element market.
The report includes the following PPT slides illustrating the concepts:
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Data Thinking Notes
Sharing insights on data architecture, governance, and middle platforms, exploring AI in data, and linking data with business scenarios.
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