CRM Data Migration & Consolidation

1. Discovery & Assessment

• Review existing CRM systems, databases, and data sources.
• Identify data types, volume, and quality issues (duplicates, inconsistencies, incomplete records).
• Understand business objectives: unified customer view, accurate reporting, and improved operational efficiency.
• Map key stakeholders, data owners, and compliance requirements.

2. Strategy & Planning

• Define migration and consolidation goals:
  • Centralize customer, lead, and contact data
  • Maintain data integrity and historical records
  • Enable seamless integration with other business systems
• Establish KPIs: data accuracy, completeness, migration success rate, and post-migration adoption.
• Develop a migration roadmap including timelines, milestones, and resource allocation.

3. Data Mapping & Standardization

• Map fields from source systems to target CRM schema.
• Standardize naming conventions, formats, and data types.
• Identify required transformations for consistency (e.g., merging duplicates, normalizing addresses).
• Define rules for handling missing or conflicting data.

4. Migration Execution

• Extract data from legacy systems using ETL processes or APIs.
• Transform and clean data according to predefined rules.
• Load data into the target CRM while maintaining historical records and relationships.
• Validate migration in a sandbox environment before full deployment.

5. Integration & Consolidation

• Merge multiple data sources into a single CRM instance.
• Ensure relationships between contacts, companies, deals, and activities are maintained.
• Sync with integrated tools (marketing automation, ERP, support platforms).
• Implement workflows to prevent data duplication post-migration.

6. Testing & Quality Assurance

• Perform data validation and reconciliation between source and target systems.
• Test workflows, automations, and reporting for proper functionality.
• Conduct user acceptance testing (UAT) with key stakeholders.
• Verify compliance with privacy regulations and security policies.

7. Training & Documentation

• Provide training for users on the new CRM setup and data access.
• Document migration processes, field mappings, and data governance rules.
• Share guidelines for maintaining data quality post-migration.

8. Monitoring & Maintenance

• Monitor data integrity and system performance post-migration.
• Conduct periodic audits to identify errors, duplicates, or inconsistencies.
• Update integrations, workflows, and automations as business needs evolve.
• Provide ongoing support to resolve data-related issues.

Value Delivered

• Consolidated, accurate, and unified customer data across all systems.
• Reduced manual effort, errors, and data silos.
• Improved reporting, analytics, and business decision-making.
• Seamless integration with CRM workflows, automations, and marketing tools.
• Scalable foundation for future CRM expansions and business growth.