Data Quality Compliance Tools

ProActive Datum utilizes it’s proprietary, proven Data Quality Compliance Tools for the Data Quality Improvement process that automate Data Quality Compliance tasks. The Data Quality Compliance Tools supports the Audit, Awareness and Action phases of the Data Quality Improvement Cycle which are commonly in a reactive state before the Data Quality Improvement process begins and have the following characteristics:

  • Utilize very labor intensive, highly technical, expensive IT resources
  • Manual, ad hoc, non-repeatable and undocumented processes and tools
  • Data extracts being moved outside a secure environment 
  • Lack accountability, communication and measurement of data quality performance
  • Cause business process interruptions
  • Identification, root cause analysis and correction of data is not timely
  • Apply undo pressure on support organizations throughout the business

The Data Quality Compliance Tools uniquely support capabilities required by three business functions that optimize the Data Quality Improvement process.  These three business functions and their associated key data quality processes are:

  • Management
    • Performance Metrics
    • Process Improvement
    • Business Impact
    • Accountability
    • Data Governance
    • Process Maturity
    • Data Standards
  • Administration
    • Defect Identification
    • Root Cause Analysis
    • Defect Correction
    • Data Auditing
    • Data Security/Privacy
    • Business Communication
    • Change Management
    • Data Validation
  • Operations
    • Monitoring
    • Data Sources/Collection
    • Data Publishing/Sharing
    • Technical Infrastructure

The Data Quality Compliance Tools enables process automation for:

  • Data Standards
    • Supports multiple Data Standards
    • Utilizes pre-loaded industry Data Standards
    • Integrates with external data validation tools/services
    • Provides for use of hierarchical data relationships
    • Enables use of  custom data validations and complex business rules
    • Supports both intra- and inter-record data dependencies
    • Provides for business impact ranking at data element level
    • Allows for configurable management of metadata code sets
    • Enables mapping of system of record application screen/field label and database table/column to data element of Data Standard
    • Provides extensive Data Standards reporting capabilities
  • Data Sources
    • Supports multiple Data Sources
    • Provides for data interface formats of XML, file upload, spreadsheet, database and web services
    • Configurable for either real-time or batch data processing
    • Enables data source verification and assurance
    • Allows for unique Data Standard assignment
    • Supports resynchronization, add, change and delete event processing
  • Data Quality Compliance
    • Identifies defective data
    • Maintains both transaction and defect repositories
    • Categorizes defects
    • Utilizes Six Sigma Process Controls
    • Provides drill-down defect analytics
    • Enables root cause analysis
    • Provides robust defect reporting capabilities
    • Tracks and reports data quality performance metrics
  • Data Correction
    • Records and verifies defect corrections
    • Packages Data Corrections for application import or direct updating
    • Provides Mean-Time-To-Correct performance metrics
    • Supports direct defect correction through integrated application plug-in
  • Data Publishing
    • Provides for multiple data stores or interfaces for Data Publishing
    • Supports defect-free Data Publishing
    • Enables removal or de-identification of data
    • Configurable data store or interface data updating
    • Provides for configurable data mappings
    • Enables Data Publishing operations reporting
  • Notification
    • Enables custom group creation
    • Supports reusable notification templates
    • Allows for automated, recurring email notifications with selected data quality report attachments
    • Provides for email notification by role, user, data source and/or custom group
  • Administration
    • Provides for management of data quality initiatives
    • Enables a secured, controlled environment for user access
    • Supports configurable user access by role assignments
    • Provides a portfolio of administrative reports
    • Allows for data source assignments by user
    • Maintains user organization and contact information
    • Provides for a library of data quality documentation