Today’s data sources are plagued by redundancies and duplications, lack of consistency and standardization, and missing or incomplete information. Data integrity solutions are designed to optimize the quality of enterprise data, to ensure a consistent, timely, and accurate view from each and every interaction point.
Data integrity solutions greatly improve the completeness and accuracy of data from enterprise sources, that solve business problems and provide tangible benefits to our clients while enabling them to improve the quality and integrity of their data in a sustainable manner
Businesses or IT organizations always want to stay competitive, remain profitable, and meet evolving customer demands. Data integrity solutions can help them to overcome these challenges by ensuring the reliability, accuracy, and timeliness of critical information.
Broad-reaching capabilities ensure data is always “clean” and consistent.
Some of the extensive and broad-reaching data quality management capabilities include:
- An automated rules engine cleanses the data, triggering instant changes to existing data to eliminate mistakes
- An automated rules engine cleanses the data, triggering instant changes to existing data to eliminate mistakes
- A real-time data quality firewall can be built, complete with real-time reporting and monitoring
- Centralized management of business rules, information integrity, and data flows provides a single point of integration and management for data from external master data systems and other sources.
- Restrictions, constraints, and other data quality rules can be defined and implemented, and then automatically applied to data values across the information landscape
- Information can also be enriched and enhanced by appending it with relevant content gathered from external sources
- Match and merge functionality synchronizes information across multiple data sets to promote consistency
- Robust data governance capabilities enable end to end remediation of data quality issues
- Data can be profiled and analyzed to assess its quality and immediately identify and correct integrity issues
Benefits
- Improved business processes by detecting issues early and reducing impact
- Reduced business process errors by (potentially) identifying them before they occur
- Improved data quality and integrity in a sustainable manner and monitor to ensure continuous improvement
- Reduce support cost through better quality data and reduced incidents.