Data Quality Engine
Validation procedures
Data validation in several areas, namely filling, consistency, integrity and duplication, with about 180 different rules.
Scalability
Ability to include new validation groups and new rules within each validation functional group.
Dashboards
Aggregated view of data quality from a qualitative and quantitative point of view.
Reports
Detailed listing of the results of each rule, allowing the organisation to intervene in order to improve the quality of the data and monitor the evolution of initiatives it promotes in this regard.
Compliance
It helps to comply with the regulators' requirements regarding data quality.
Cost Reduction
Easy to implement solution with reduced time-to-market.
Better Communication
Better data allows for the implementation of marketing initiatives that actually reach the Customers through the various contact channels.
Better Decisions
Having, in the future, quality data that enable the implementation of BI and AI initiatives with value for the institution.
Versatility
Flexible and customizable solution, with parametrisations tailored to the organisation, as well as the implementation of new rules.