Primary Use Case: CRM & SCRM Bidirectional Sync
Background Overview
Customer data must be synchronized between CRM and SCRM systems to maintain a single customer view. Without proper sync, customer experiences are fragmented and data is inconsistent. This primary use case describes bidirectional synchronization, data quality, and conflict resolution.
Goals & Value
- Single Customer View: Unified customer data across all systems.
- Real-time Collaboration: Instant updates for collaborative work.
- Quality Assurance: Accurate and consistent data synchronization.
- Operational Efficiency: Streamlined processes across systems.
Participating Roles
- Data Integration Team: Manage synchronization processes.
- Sales Teams: Use synchronized data for customer management.
- Customer Success: Maintain customer relationships with complete data.
- IT Teams: Maintain integration infrastructure.
- Management: Review synchronization performance and quality.
Primary Scenario User Story
As a sales manager, I want customer data to sync automatically between CRM and SCRM, so that I always have the latest information regardless of which system I'm using.
Sub-scenario Details
Sub-scenario A: Data Mapping & Transformation
- Roles & Triggers: Need to map data between systems.
- Main Process:
- Define data mapping between CRM and SCRM fields.
- Transform data formats for compatibility.
- Handle data type conversions and validations.
- Test mappings with sample data.
- Success Criteria: Accurate mappings; proper transformations; validated data.
- Exceptions & Risk Control: Mapping errors; transformation failures; validation issues.
- **Metric Suggestions: Mapping accuracy, transformation success, validation rate.
Sub-scenario B: Real-time Synchronization
- Roles & Triggers: Synchronize data in real-time.
- Main Process:
- Monitor data changes in source system.
- Trigger synchronization events.
- Update target system with changes.
- Confirm successful synchronization.
- Success Criteria: Real-time updates; reliable synchronization; confirmation.
- Exceptions & Risk Control: Sync delays; update failures; confirmation issues.
- **Metric Suggestions: Sync latency, success rate, confirmation rate.
Sub-scenario C: Conflict Resolution
- Roles & Triggers: Need to handle data conflicts.
- Main Process:
- Detect conflicting data updates.
- Apply resolution rules (timestamp, authority).
- Resolve conflicts automatically or manually.
- Log resolution decisions and actions.
- Success Criteria: Proper conflict detection; fair resolution; complete logging.
- Exceptions & Risk Control: Missed conflicts; unfair resolution; incomplete logs.
- **Metric Suggestions: Conflict detection rate, resolution accuracy, logging completeness.
Sub-scenario D: Data Quality Monitoring
- Roles & Triggers: Need to ensure data quality.
- Main Process:
- Monitor data quality metrics.
- Identify and flag data quality issues.
- Implement data quality improvements.
- Report on data quality status.
- Success Criteria: High data quality; proactive monitoring; continuous improvement.
- Exceptions & Risk Control: Quality issues; monitoring gaps; improvement failures.
- **Metric Suggestions: Data quality score, issue detection rate, improvement rate.
Scenario-level Test Case Examples
Test Preparation: Prepare integration platform, data mapping tools, synchronization engine, and conflict resolution system.
Test Case A-1: Customer Update Sync (Positive)
- Prerequisites: Customer data updated in CRM.
- Steps:
- Customer information modified in CRM.
- Change synchronized to SCRM.
- Expected Results:
- Update detected and synced.
- SCRM shows updated information.
- Sync confirmation logged.
Test Case B-1: Data Conflict Resolution (Negative)
- Prerequisites: Same data updated in both systems.
- Steps:
- Conflict detected during sync.
- Resolution rules applied.
- Conflict resolved.
- Expected Results:
- Conflict identified accurately.
- Resolution rule applied correctly.
- Resolution logged for audit.
