Executive Summary
When a growing enterprise discovered data quality issues in its Dynamics 365 CRM system, it engaged SCH Tech for a comprehensive audit and remediation strategy. What began as a routine compliance check revealed that a significant portion of their customer database consisted of duplicate records, creating operational inefficiencies, compliance risks, and customer satisfaction challenges. This case study details how SCH Tech’s innovative approach and custom-built tools transformed their client’s data management practices.
The Challenge: Hidden Data Quality Crisis
Our client suspected they had duplicate contact records in their Dynamics 365 CRM, but lacked visibility into the accurate scale of the problem. With tens of thousands of customer records and multiple integration points feeding data into the system, manual investigation was impossible. The situation was further complicated by internal compliance requirements that mandated verification of duplicate prevention controls across all customer touchpoints.
Key Business Impacts Identified
The duplicate data issue was creating cascading problems across the organisation:
- Customer Experience Degradation: Customers received multiple communications and faced confusion during service interactions
- Operational Inefficiency: Customer service representatives spent significant additional time searching through duplicate records
- Service Delivery Risks: Many duplicate groups had conflicting service information, risking incorrect fulfilment
- Compliance Concerns: Data protection violations due to multiple records per individual
- Financial Impact: Inflated customer metrics affecting business decisions and marketing ROI calculations
SCH Tech’s Innovative Approach
Custom Tool Development
Rather than relying on manual processes or generic tools, SCH Tech developed a sophisticated Python-based duplicate detection package specifically designed for Dynamics 365 data analysis. This custom solution leveraged the Dynamics Web API to perform a comprehensive scan of the entire CRM database, using email addresses as the primary identifier for duplicate detection.
The tool was engineered to:
- Process large datasets efficiently using pagination and batch processing.
- Track multiple data source fields to identify entry points.
- Generate detailed Excel reports with both summary and detailed views.
- Identify patterns in duplicate creation to pinpoint root causes.
- Provide actionable insights for remediation.
Comprehensive Audit Methodology
SCH Tech’s systematic approach included:
- Full database scan with configurable matching criteria
- Analysis of data entry patterns across all channels
- Integration point assessment
- Business process review
- Compliance verification against internal requirements
The audit revealed that nearly one in five records in the system were duplicates, with some customer records having numerous variations across different system entry points.
Root Cause Analysis: Uncovering System Integration Failures
Through detailed forensic analysis, SCH Tech identified three primary categories of duplicate creation:
1. Third-Party Integration Issues (Approximately 50% of duplicates)
A critical configuration error in a major integration had turned off duplicate detection checks. The system was configured to suppress duplicate detection, meaning every transaction created a new record regardless of existing data. This single misconfiguration was responsible for thousands of duplicate records.
2. Marketing Automation Platform (Approximately 30% of duplicates)
The marketing automation system was creating new contacts for every web form submission, even when matching records already existed. The platform wasn’t configured to check for existing records before creating new ones.
3. Manual Entry Processes (Approximately 20% of duplicates)
Users were creating new contacts without adequate system checks. The system lacked real-time duplicate warnings on data entry forms, allowing users to develop duplicates unknowingly.
The Solution: Multi-Layered Remediation Strategy
SCH Tech developed a comprehensive remediation plan addressing both immediate fixes and long-term prevention:
Immediate Configuration Fixes
- API Configuration Corrections: Enable duplicate detection in all integration points
- Native Platform Features: Activate Dynamics 365’s built-in duplicate detection capabilities
- Marketing Platform Optimisation: Implement “update if exists” logic for all automated entries
Platform Enhancements
SCH Tech designed several technical enhancements:
- Real-time Validation: JavaScript-based form enhancements for immediate duplicate warnings
- Automated Workflows: Power Automate flows to handle duplicate scenarios
- Business Rules: Field-level data quality enforcement
- Custom Plugins: API-level duplicate checking for all external integrations
Process Improvements
Beyond technical solutions, SCH Tech recommended:
- Unified Data Entry Standards: Consistent processes across all channels
- Data Governance Framework: Assignment of data stewardship roles
- Training Programs: User education on duplicate prevention
- Monitoring Dashboards: Real-time data quality metrics using Power BI
Data Cleanup Strategy
SCH Tech developed a phased approach to clean existing duplicates:
Phase 1: High-Risk Records
- Focus on records with conflicting critical information
- Manual review for complex scenarios
- Preservation of important historical data
Phase 2: Status Conflicts
- Automated processing using business rules
- Bulk updates using Power Automate
- Verification of data integrity
Phase 3: Simple Duplicates
- Mass merge operations using Dynamics tools
- Automated consolidation based on predefined rules
- Post-merge validation
Implementation Results
The implementation of SCH Tech’s recommendations delivered significant improvements:
Operational Benefits
- 30% reduction in average call handling time
- Eliminated duplicate communications to customers
- Improved service delivery accuracy
- Enhanced customer satisfaction scores
Financial Impact
- Accurate customer metrics for better business decisions
- Reduced marketing waste from duplicate sends
- Lower operational costs through improved efficiency
- Better ROI tracking for marketing campaigns
Compliance Achievement
- GDPR compliance through a single customer view
- Audit trail implementation for all data changes
- Data quality standards met across all touchpoints
- Regular monitoring has been established for ongoing compliance
Key Recommendations for Organisations
Based on this engagement, SCH Tech recommends that organisations using Dynamics 365:
- Regular Data Audits: Implement quarterly data quality assessments
- Integration Monitoring: Verify that all API configurations maintain duplicate detection
- User Training: Ensure all users understand the importance of data quality
- Native Features First: Leverage Dynamics 365’s built-in capabilities before custom solutions
- Data Governance: Establish clear ownership and accountability for data quality
- Continuous Improvement: Monitor metrics and adjust processes based on findings
Conclusion
SCH Tech’s engagement demonstrates that even well-established CRM implementations can harbour significant data quality issues. Through a combination of technical expertise, custom tool development, and strategic planning, organisations can transform their data management practices. The key is taking a comprehensive approach that addresses not just the symptoms but the root causes of duplicate data creation.
By implementing SCH Tech’s recommendations, organisations can achieve:
- Improved customer experiences
- Increased operational efficiency
- Better compliance posture
- More accurate business intelligence
- Reduced operational costs
Contact SCH Tech today to learn how we can help optimise your Dynamics 365 investment and ensure your data works for you, not against you.
