Data profiling
Ability to find anomalies and hidden relationships between data elements
Cat avg: 8.3
Top Performing Features
Address verification
Data format checking and valid address checking
Cat avg: 8.6
Data source connectivity
Ease of connection to multiple data sources
Cat avg: 8.3
Master data management (MDM) integration
Quality of integration with MDM systems
Cat avg: 8.6
Worst Performing Features
Data element standardization
Parsing and standardization of data elements according to predefined rules
Cat avg: 8.3
Match and merge
Ability to identify potential matches and then merge
Cat avg: 8.2
Melissa Data Quality Suite Features from Reviews
Data Quality
Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making
8.3-1%
Data source connectivity
Ease of connection to multiple data sources
Category average: 8.3
Data profiling
Ability to find anomalies and hidden relationships between data elements
Category average: 8.3
Master data management (MDM) integration
Quality of integration with MDM systems
Category average: 8.6
Data element standardization
Parsing and standardization of data elements according to predefined rules
Category average: 8.3
Match and merge
Ability to identify potential matches and then merge
Category average: 8.2
Address verification
Data format checking and valid address checking
Category average: 8.6