Solutions
Data quality framework
The maintenance of data quality is a challenge for many companies. The accuracy of the data may be impacted by anomalies, various data sources yielding duplicate sets of data, difficulties with consistency, or both. Every area of your company that depends on data to guide its operations and decision-making must eliminate these problems and attain a high degree of data quality. Implementing a data quality framework is one of the key components to attaining this.
Dimensions of data quality
- Accuracy : Does the data reflect reality?
- Completeness : Are there any gaps in the data?
- Consistency : Is the data representative of the population as a whole, or is it an outlier?
- Freshness : How old is the data?
- Validity : Is the information being saved in a reliable and appropriate format?
- Uniqueness : Are there any duplicates of the data point under examination in the database?