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Summary of the Group's Big Data Quality Improvement Plan
Design method of this case: Based on the leading design method and referring to advanced practices, we designed a customized improvement plan that fits the current situation and future development direction of the group.
Priority Directions for the Analysis:
Data quality and governance are one of the three important supports for the realization of big data strategy
- Data strategy: the overall goals and attitudes that guide the use and analysis of data within the organization and how it relates to business value;
- Data integration and application: the interface and interface between business and technology, the process of transforming data insights into business value;
- Data talent: the ability of individuals within the organization to analyze activities and how to place them in the organizational structure;
- Data governance and governance: the process of collecting, cleaning, storing, managing, and maintaining data;
- Data systems and tools: internal and external system architectures, platforms, and tools used in big data analysis.
Content catalog of a group's big data data quality improvement planning plan:
1. Review of the current status of data quality
2. Data quality improvement plan
- Who will do it?—— clarify who is responsible for data governance
- What to do?—— define the scope of governance (i.e., key data items) and standards
- How to do it?—— working methods and mechanisms to ensure (ability, willingness)
3. Data model architecture
- Definition and role
- Reference practice and inspiration
- The status quo of the group's construction
The following are some examples of the contents of this case
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