Data quality.
Data quality.
As data becomes a core part of every business operation, the quality of the data gathered, stored, and consumed during business processes significantly impacts the overall success of the business.
Data quality is critical to accurate data analysis and a reliable and trusted business decision.
As researchers, we use data attributes to get the correct context and measure data quality. Data quality dimensions to measure and improve data accuracy are
- Completeness
- Conformity
- Reliability
- Relevance
We employ various remedies to prevent data quality issues and meet data quality key performance indicators (KPIs).
The following data quality dimension is used to measure the data quality indicators (KPIs):
- Data Profiling
- Data Matching
- Data Quality Reporting
- Master Data Management (MDM)
- Customer Data Integration (CDI)
- Product Information Management (PIM)
- Digital Asset Management (DAM)
