Data Quality Analysis System
Jump to navigation
Jump to search
A Data Quality Analysis System is a data analysis system that solves data quality analysis tasks.
- Context:
- output: a Data Quality Analysis Report.
- It can precede a Data Cleaning Task.
- …
- Example(s):
- Counter-Example(s):
- ...
- See: Data Cleaning Tool.
References
2023
- chat
- Q: What is a data quality analysis system? What are some of its key capabilities?
- A: A data quality analysis system is a set of tools and processes used to measure, monitor and improve the quality of data within an organization. Its key capabilities include data profiling, data cleansing, data enrichment, data matching, data standardization and data validation. Data profiling is the process of discovering patterns and discrepancies in data. Data cleansing is the process of removing errors and inconsistencies from data. Data enrichment is the process of adding additional information to data. Data matching is the process of looking for relationships between different data elements. Data standardization is the process of making sure that data is consistent and organized. Data validation is the process of verifying that data is valid, accurate and complete.