Data Quality
Core ConceptsDefinition
The condition of a set of values of qualitative or quantitative variables that is deemed fit for its intended use.
Detailed Description
Data quality refers to the adequacy of data to serve its intended purpose in decision-making, analytics, and operational processes. In an ERP context, high data quality ensures the reliability of information used across various modules. It involves accuracy, completeness, consistency, reliability, and timeliness of data stored within an ERP system.
Key Features
- Accuracy
- Completeness
- Consistency
- Relevance
- Timeliness
Common Modules
Data Management
Module responsible for handling, storing, and ensuring the quality of data across an ERP system.
Reporting and Analytics
Module that relies heavily on data quality to provide accurate and relevant business insights.
Popular Implementations
Automated Data Cleansing Tools
Software tools implemented to automatically find and correct errors and inconsistencies in the data.
Data Quality Auditing
A process where data audits are scheduled to ensure adherence to quality standards across ERP modules.