Accuracy
We safeguard data integrity, so every data point reflects real-world truth, essential for dependable analytics and insights.
- Range Check
- Regex Check
Data Quality
Data quality is the foundation of reliable insights and efficient operations. At Infoveave, we prioritize robust data quality, helping organizations harness accurate, timely, and reliable data for impactful decision-making.
Data Quality Dimensions
Consistency
Infoveave harmonizes data across sources, enabling seamless integration and eliminating confusion from discrepancies.
- Date Format Checks
- Numeric Precision Checks
Relevancy
We focus on relevant data to streamline processes, ensuring every data point directly supports your strategic goals.
- Custom Sql Check
Completeness
Our platform actively addresses data gaps, so crucial information is always at hand, supporting comprehensive analyses.
- Not Null Check
Validity
We enforce essential data rules to maintain high standards, making data consistently reliable for both internal and external use.
- Starts With Check
- Ends With Check
- Length Check
- Lookup Check
- Lookup Static Values Check
Uniqueness
Infoveave eliminates redundancies, preserving the most accurate version of each data record, so you can work with the clearest view.
- Distinct Check
- Unique Check
Timeliness
Infoveave accelerates data availability, giving your teams access to fresh, real-time information when it matters most.
- Recency Check
Integrity
We ensure data integrity by maintaining accuracy, consistency, and reliability across platforms through strict validation standards.
- Foreign Key Validation