protocols for MDM integration Data Quality Management Implement data quality rules, profiling, and cleansing Develop data quality dashboards, reports, and metrics to monitor and measure data quality improvements data stewards and business users to resolve data quality issues and discrepancies Customization and Extension & Leadership Set an example through personal quality and productivity standards and ways of working Self-Management Follow through to ensure that personal quality and productivity standards are consistently and
optimize CRM system performance, usability, and data quality through regular updates and enhancements User Training security within the CRM platform Implement data quality controls, deduplication processes, and data enrichment & Leadership Set an example through personal quality and productivity standards and ways of working
goals between development team (high technical quality) and product owner (more features). Consulting