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AI Agent Orchestration Framework for Salesforce Development - Two-phase architecture with 70% context reduction

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# Data Validation Engineering Checklist This comprehensive checklist ensures thorough validation processes for data migration, integration, and quality assurance in Salesforce implementations. ## Validation Framework Design ### Level 1: Framework Architecture - [ ] Validation objectives defined - [ ] Framework components identified - [ ] Technology stack selected - [ ] Automation strategy determined - [ ] Reporting structure designed ### Level 2: Validation Scope - [ ] Data objects prioritized - [ ] Field-level validations mapped - [ ] Business rules documented - [ ] Integration points identified - [ ] Performance requirements set ### Level 3: Success Criteria - [ ] Accuracy thresholds defined - [ ] Completeness metrics established - [ ] Timeliness requirements set - [ ] Quality benchmarks determined - [ ] Acceptance criteria documented ## Pre-Validation Setup ### Level 1: Environment Preparation - [ ] Validation environment configured - [ ] Test data sets prepared - [ ] Access permissions verified - [ ] Tools and scripts ready - [ ] Baseline metrics captured ### Level 2: Data Profiling - [ ] Source data analyzed - [ ] Data patterns identified - [ ] Quality issues cataloged - [ ] Volume statistics gathered - [ ] Complexity assessed ### Level 3: Validation Rules Definition - [ ] Business rules translated - [ ] Technical validations defined - [ ] Exception criteria established - [ ] Threshold values set - [ ] Priority levels assigned ## Field-Level Validation ### Level 1: Data Type Validation - [ ] Field types verified - [ ] Length constraints checked - [ ] Numeric precision validated - [ ] Date formats confirmed - [ ] Boolean values verified ### Level 2: Format Validation - [ ] Email formats validated - [ ] Phone number patterns checked - [ ] Postal code formats verified - [ ] Currency formats confirmed - [ ] Custom patterns validated ### Level 3: Business Rule Validation - [ ] Required fields enforced - [ ] Conditional logic verified - [ ] Calculation accuracy checked - [ ] Cross-field dependencies validated - [ ] Lookup relationships confirmed ### Level 4: Data Quality Checks - [ ] Null value handling verified - [ ] Default values applied correctly - [ ] Special characters handled - [ ] Encoding issues resolved - [ ] Truncation prevention confirmed ## Record-Level Validation ### Level 1: Completeness Validation - [ ] Mandatory fields populated - [ ] Record integrity maintained - [ ] Related data present - [ ] Attachment availability verified - [ ] Child records validated ### Level 2: Uniqueness Validation - [ ] Primary keys unique - [ ] External IDs verified - [ ] Duplicate detection performed - [ ] Merge candidates identified - [ ] Collision handling tested ### Level 3: Referential Integrity - [ ] Parent records exist - [ ] Foreign key validity confirmed - [ ] Orphaned records identified - [ ] Circular references detected - [ ] Cascade rules verified ## Cross-System Validation ### Level 1: Source-Target Matching - [ ] Record counts matched - [ ] Field mappings verified - [ ] Transformation accuracy checked - [ ] Data loss prevention confirmed - [ ] Sync status validated ### Level 2: Integration Validation - [ ] API data consistency verified - [ ] Real-time sync validated - [ ] Batch process accuracy checked - [ ] Error handling verified - [ ] Retry logic tested ### Level 3: End-to-End Validation - [ ] Process flow integrity confirmed - [ ] Data lineage tracked - [ ] Transaction completeness verified - [ ] Audit trail maintained - [ ] Rollback capability tested ## Performance Validation ### Level 1: Processing Speed - [ ] Validation execution time measured - [ ] Batch processing rates verified - [ ] Query performance optimized - [ ] Resource utilization checked - [ ] Bottlenecks identified ### Level 2: Scalability Testing - [ ] Volume testing completed - [ ] Concurrent processing verified - [ ] Peak load handling tested - [ ] Growth projections validated - [ ] Capacity limits identified ### Level 3: Optimization Validation - [ ] Index usage verified - [ ] Query plans optimized - [ ] Caching effectiveness tested - [ ] Parallel processing validated - [ ] Resource allocation optimized ## Security Validation ### Level 1: Access Control - [ ] User permissions validated - [ ] Field-level security verified - [ ] Record sharing rules tested - [ ] API access controlled - [ ] Audit logging enabled ### Level 2: Data Protection - [ ] Encryption at rest verified - [ ] Encryption in transit confirmed - [ ] PII masking validated - [ ] Sensitive data protected - [ ] Compliance requirements met ### Level 3: Vulnerability Testing - [ ] Injection attacks prevented - [ ] Cross-site scripting blocked - [ ] Authentication bypasses tested - [ ] Session management verified - [ ] Security headers validated ## Automated Validation Testing ### Level 1: Test Automation - [ ] Validation scripts developed - [ ] Test cases automated - [ ] Regression suite created - [ ] Continuous validation enabled - [ ] Results reporting automated ### Level 2: Framework Testing - [ ] Unit tests written - [ ] Integration tests developed - [ ] Performance tests created - [ ] Security tests implemented - [ ] End-to-end tests executed ### Level 3: Test Coverage - [ ] Code coverage measured - [ ] Edge cases tested - [ ] Negative scenarios validated - [ ] Boundary conditions checked - [ ] Exception paths verified ## Validation Reporting ### Level 1: Results Documentation - [ ] Validation reports generated - [ ] Error logs maintained - [ ] Success metrics tracked - [ ] Failure analysis completed - [ ] Trends identified ### Level 2: Dashboard Creation - [ ] Real-time dashboards built - [ ] KPI metrics displayed - [ ] Drill-down capability added - [ ] Alert mechanisms configured - [ ] Historical tracking enabled ### Level 3: Stakeholder Communication - [ ] Executive summaries prepared - [ ] Technical reports detailed - [ ] Issue escalation documented - [ ] Recommendations provided - [ ] Action plans created ## Issue Resolution ### Level 1: Error Handling - [ ] Error categorization complete - [ ] Root cause analysis performed - [ ] Fix strategies developed - [ ] Validation re-run procedures - [ ] Resolution tracking implemented ### Level 2: Data Correction - [ ] Correction scripts developed - [ ] Manual fix procedures documented - [ ] Bulk update strategies defined - [ ] Validation post-correction - [ ] Prevention measures implemented ### Level 3: Process Improvement - [ ] Lessons learned documented - [ ] Validation rules updated - [ ] Framework enhancements made - [ ] Team training conducted - [ ] Best practices refined ## Continuous Validation ### Level 1: Monitoring Setup - [ ] Real-time validation enabled - [ ] Scheduled validations configured - [ ] Alert thresholds set - [ ] Notification channels established - [ ] Escalation procedures defined ### Level 2: Maintenance Procedures - [ ] Validation rule updates planned - [ ] Framework maintenance scheduled - [ ] Performance tuning ongoing - [ ] Documentation updates tracked - [ ] Tool upgrades managed ### Level 3: Evolution Strategy - [ ] New requirements incorporated - [ ] Technology advances adopted - [ ] Process optimization continuous - [ ] Team skills developed - [ ] Innovation opportunities explored ## Compliance and Audit ### Level 1: Regulatory Compliance - [ ] Industry standards met - [ ] Data governance followed - [ ] Privacy regulations adhered - [ ] Audit requirements satisfied - [ ] Documentation maintained ### Level 2: Quality Assurance - [ ] QA processes followed - [ ] Peer reviews completed - [ ] Independent validation performed - [ ] Sign-offs obtained - [ ] Certification achieved ### Level 3: Continuous Compliance - [ ] Regular audits scheduled - [ ] Compliance monitoring active - [ ] Policy updates tracked - [ ] Training programs maintained - [ ] Improvement initiatives ongoing ## Post-Validation Activities ### Level 1: Knowledge Transfer - [ ] Documentation completed - [ ] Training delivered - [ ] Handover conducted - [ ] Support processes established - [ ] FAQ created ### Level 2: Optimization Review - [ ] Performance analyzed - [ ] Efficiency improvements identified - [ ] Cost optimization achieved - [ ] Resource utilization optimized - [ ] Future enhancements planned ### Level 3: Success Measurement - [ ] KPIs achieved - [ ] Business value demonstrated - [ ] ROI calculated - [ ] Stakeholder satisfaction measured - [ ] Continuous improvement planned