Data Quality Management

The purpose of Data Quality Management tools and processes is to maintain a high quality of data which is essential to gain actionable and accurate insights from your information.

Using our Data Quality Management software, Prescience, we offer the following service level agreements to help improve your data quality.

Data Quality Analysis

  • Manage data quality rules as identified by client or by our recommendations
  • Continuous optimisation of existing data quality rules
  • Configuration of exception notifications (e-mail)
  • A monthly report will be submitted including:
    • Activities performed on Prescience (new / improved data quality rules)
    • Exceptions summary
    • Data Quality Improvement recommendations

Data Quality Management

Support Ticketing System

  • Will be monitored on a daily basis
  • Urgent data quality issues will be resolved
  • Liaising with the client engineering team to resolve data quality logging exceptions
  • Investigate data quality exceptions
  • Manual data scrubbing / data repairs

Database and Report Maintenance

Support activities on the system will be done on a weekly basis.

  • Management and continuous improvement of data scrubbing rules
  • Reporting database maintenance
    • Backups
    • Database performance enhancements
  • Reports Maintenance
    • Management of reporting views and procedures in Microsoft Team Foundation
    • Management of Reports in Microsoft Team Foundation
    • Reports performance enhancements
    • Managing user report access and subscriptions