Reconciliation and Validation Post-Migration Training Course

Reconciliation and Validation Post-Migration Training Course

Introduction

In today’s fast-paced digital transformation era, system migrations are pivotal for business scalability, operational efficiency, and data modernization. However, post-migration discrepancies can disrupt financial integrity, operational continuity, and decision-making accuracy. Reconciliation and Validation Post-Migration Training Course equips professionals with the knowledge and practical tools to ensure data accuracy, seamless integration, and process alignment after migration. Participants will gain expertise in detecting discrepancies, validating datasets, and implementing automated reconciliation techniques to safeguard organizational integrity.

This intensive training emphasizes hands-on learning, industry best practices, and real-world case studies to bridge the gap between theory and application. By mastering reconciliation frameworks, validation protocols, and audit controls, participants will be able to proactively manage data anomalies, risk mitigation, and compliance challenges. This course is designed for finance, IT, and operations professionals who aim to drive post-migration accuracy, operational resilience, and data-driven decision-making in complex organizational environments.

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

1. Understand post-migration reconciliation frameworks and best practices
2. Perform accurate data validation and integrity checks
3. Detect discrepancies using automated and manual techniques
4. Implement reconciliation strategies for ERP, CRM, and financial systems
5. Ensure compliance with industry standards and audit requirements
6. Manage risk through proactive post-migration monitoring
7. Analyze root causes of data discrepancies effectively
8. Design robust reporting and validation dashboards
9. Apply real-time reconciliation tools and technologies
10. Optimize post-migration workflows for operational efficiency
11. Leverage AI and analytics for anomaly detection
12. Conduct cross-functional reconciliation across business units
13. Build actionable insights for strategic decision-making

Target Audience

1. Finance professionals and accountants
2. Data analysts and data quality specialists
3. IT project managers and migration leads
4. ERP/CRM consultants and administrators
5. Risk and compliance officers
6. Internal auditors
7. Business analysts
8. Operations managers

Course Modules

Module 1: Introduction to Post-Migration Reconciliation

• Understanding migration types and challenges
• Key reconciliation principles and frameworks
• Risks associated with inaccurate post-migration data
• Compliance and audit considerations
• Case Study: ERP migration discrepancies and corrective actions

Module 2: Data Validation Techniques

• Data profiling and integrity checks
• Manual vs automated validation methods
• Cross-system data verification
• Handling incomplete or missing data
• Case Study: CRM to ERP migration validation

Module 3: Reconciliation Tools and Technologies

• Overview of reconciliation software
• Automation in post-migration reconciliation
• Integration with ERP, CRM, and financial systems
• Benefits of AI-driven reconciliation
• Case Study: Automated reconciliation in SAP migration

Module 4: Risk Management & Compliance

• Identifying post-migration risks
• Mitigating operational and financial impacts
• Compliance standards and regulations
• Creating audit-ready documentation
• Case Study: Compliance audit post-database migration

Module 5: Discrepancy Detection & Root Cause Analysis

• Techniques for anomaly detection
• Data reconciliation workflows
• Using analytics for discrepancy analysis
• Prioritizing discrepancies for action
• Case Study: Root cause analysis of financial mismatches

Module 6: Reporting & Dashboard Design

• Creating reconciliation dashboards
• KPIs and performance metrics
• Visualizing data anomalies
• Executive reporting for decision-making
• Case Study: Dashboard implementation for post-migration reporting

Module 7: Cross-Functional Reconciliation

• Collaboration between finance, IT, and operations
• Reconciling multi-system data
• Establishing governance frameworks
• Workflow optimization for cross-department processes
• Case Study: Multi-department data reconciliation in a multinational company

Module 8: Advanced Techniques & Future Trends

• AI and machine learning in reconciliation
• Predictive analytics for post-migration validation
• Process automation for efficiency
• Emerging trends in data governance
• Case Study: Leveraging AI for predictive discrepancy management

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.