In 2018, CBIRC releases Data Governance Guidelines for Banking Financial Institutions, data governance is included in the scope of corporate governance and required the establishment of top-down and coordinated data governance framework.
On September 22, 2021, CBIRC issued The Measures for The Supervision and Rating of Commercial Banks, in which data governance accounted for 5% of the standard weight distribution of all regulatory rating elements, showing the importance of data governance.
At present, various industries have the following problems in the field of data governance: lack of data standards, data duplication, data inaccuracy, metadata consistency is difficult to ensure in multiple environments, lack of data governance assessment mechanism, etc.
Form a diagnosis and analysis report on customer status
In-depth understanding of customer status through on-site interviews and questionnaires, we evaluated 10 fields of data governance according to Data Management Capability Maturity Model (DCMM), find out the gap between customers and advanced peers in data management, analyze the reasons for the gap, put forward suggestions for improvement based on our practical experience, and finally form a diagnosis and analysis report on customer status.
Design the data governance framework
Design the data governance framework according to the customer's current organizational structure, and define the job responsibilities at different organizational levels.
Design data standard
Design data standard, form data standard dictionary finally, implement data sharing.
Complete the data quality analysis report
To promote the data governance culture, so that employees have a deep understanding of data governance.
Design data standard management method
The construction of data asset management platform is to ensure the effective landing of governance work through the implementation of tools, so as to bear the results of data governance.
