Skip to content
ERP Migration

Planning for Parallel Run Periods During ERP System Migration

A comprehensive guide to planning parallel run periods in ERP migrations, covering duration, data synchronization, risk mitigation, and cutover strategies for business continuity.

7 min readSysGenPro Editorial
Planning for Parallel Run Periods During ERP System Migration

What is a Parallel Run Period in ERP Migration?

A parallel run period is a critical phase in ERP migration where both the legacy and new ERP systems operate simultaneously for a defined duration. This approach allows organizations to validate data integrity, process accuracy, and system performance before fully decommissioning the old system. The primary goal is to mitigate risk by ensuring the new system can handle real-world business operations without disrupting daily activities. Key risks to control during this phase include data discrepancies, integration failures, user confusion, and performance bottlenecks. Proper planning ensures that financial reporting remains accurate, operational workflows are uninterrupted, and stakeholders have confidence in the new system's reliability. This phase is not merely a technical exercise but a strategic validation of the entire migration strategy.

Determining the Duration of the Parallel Run

The length of a parallel run depends on the complexity of the ERP implementation, the volume of data, and the criticality of business processes. For straightforward upgrades with minimal customizations, a period of two to four weeks may suffice. However, complex migrations involving multiple modules, extensive third-party integrations, or significant process changes may require one to three months. It is essential to align the duration with the business calendar, avoiding peak periods such as month-end or year-end closing. The decision should be based on a risk assessment that considers the potential impact of errors in the new system. A shorter run reduces costs and user fatigue, while a longer run provides more confidence but increases resource consumption. Organizations should define clear exit criteria, such as achieving 99.9% data accuracy and zero critical defects, to determine when the parallel run can conclude.

Factors Influencing Duration

  • Complexity of custom modules and workflows
  • Volume and variety of data being migrated
  • Number of integrated third-party systems
  • Regulatory compliance requirements
  • User readiness and training completion status

Data Synchronization and Reconciliation Strategies

Data synchronization is the backbone of a successful parallel run. Both systems must process transactions in real-time or near real-time to ensure that data remains consistent. This requires robust integration middleware or APIs that can handle bidirectional data flow. Reconciliation processes must be automated to compare key data points, such as general ledger balances, inventory levels, and customer records, between the two systems. Discrepancies should be flagged immediately for investigation. It is crucial to establish a clear ownership model for data issues, with dedicated teams responsible for resolving conflicts. Regular reconciliation reports should be generated and reviewed by finance and IT leaders to ensure that the new system is producing accurate results. Without rigorous reconciliation, the parallel run fails to provide the necessary validation, leading to potential data corruption post-cutover.

Reconciliation Best Practices

  • Automate daily reconciliation of financial and operational data
  • Define tolerance thresholds for minor variances
  • Assign clear roles for investigating and resolving discrepancies
  • Document all data issues and their resolutions for audit trails
  • Perform end-of-period full reconciliation before cutover

Managing User Experience and Training

During a parallel run, users are required to enter data into both systems, which can lead to increased workload and potential errors. To mitigate this, organizations should provide comprehensive training and user guides specific to the new ERP system. It is important to communicate the purpose of the parallel run clearly, emphasizing that it is a temporary measure to ensure a smooth transition. Support channels, such as help desks and super-users, should be readily available to assist employees with questions and issues. Feedback from users should be collected systematically to identify usability problems or process gaps in the new system. This feedback loop is essential for refining the system before full cutover. Additionally, organizations should consider providing incentives or recognition for users who demonstrate proficiency in the new system, fostering a positive attitude toward the change.

Technical Infrastructure and Performance Monitoring

Running two ERP systems simultaneously places additional load on IT infrastructure, including servers, networks, and storage. Organizations must ensure that their infrastructure can handle the increased demand without degrading performance. Load testing should be conducted before the parallel run begins to identify potential bottlenecks. Monitoring tools should be deployed to track system performance, response times, and error rates in real-time. Any performance issues should be addressed promptly to prevent them from affecting business operations. It is also important to ensure that security protocols are maintained across both systems, with access controls and encryption in place to protect sensitive data. Regular backups should be performed to safeguard against data loss or corruption. By proactively managing technical infrastructure, organizations can ensure that the parallel run proceeds smoothly and that the new system is ready for full production use.

Defining Go/No-Go Criteria for Cutover

Before concluding the parallel run and proceeding to cutover, organizations must establish clear go/no-go criteria. These criteria should be based on measurable metrics, such as data accuracy rates, system uptime, and defect resolution status. A cross-functional team, including IT, finance, and operations leaders, should review these metrics and make the final decision. If the criteria are not met, the parallel run should be extended, and corrective actions should be implemented. It is essential to have a documented rollback plan in case the new system fails after cutover. This plan should outline the steps to revert to the legacy system, including data restoration and communication protocols. By defining clear criteria and having a robust rollback plan, organizations can minimize the risk of a failed cutover and ensure business continuity.

CriterionThresholdOwnerVerification Method
Data Accuracy99.9%Finance DirectorAutomated Reconciliation Reports
System Uptime99.5%IT DirectorMonitoring Dashboard
Critical Defects0Project ManagerDefect Tracking System
User Training Completion100%HR ManagerTraining Records

Risk Mitigation and Contingency Planning

Despite thorough planning, risks remain during a parallel run. Common risks include data loss, integration failures, and user resistance. To mitigate these risks, organizations should implement a comprehensive risk management plan. This plan should identify potential risks, assess their likelihood and impact, and define mitigation strategies. For example, if an integration failure occurs, a manual workaround should be available to ensure business continuity. Regular risk reviews should be conducted throughout the parallel run to identify new risks and adjust mitigation strategies as needed. Additionally, organizations should maintain open communication with stakeholders, providing regular updates on progress and any issues encountered. By proactively managing risks, organizations can ensure that the parallel run achieves its objectives and that the migration proceeds smoothly.

Post-Parallel Run Stabilization and Support

After the parallel run concludes and cutover is complete, the focus shifts to stabilizing the new ERP system. This phase involves monitoring the system for any issues that may have been missed during the parallel run. A dedicated support team should be available to address user queries and resolve defects. Performance tuning may be required to optimize the system for production workloads. Regular audits should be conducted to ensure that data integrity is maintained and that compliance requirements are met. Feedback from users should continue to be collected to identify areas for improvement. By providing robust post-migration support, organizations can ensure that the new ERP system delivers the expected benefits and that users are confident in its reliability. This phase is critical for long-term success and should not be overlooked.

Conclusion

Planning for parallel run periods during ERP system migration is a critical step in ensuring a successful transition. By carefully determining the duration, implementing robust data synchronization and reconciliation strategies, managing user experience, monitoring technical infrastructure, and defining clear go/no-go criteria, organizations can mitigate risks and achieve a smooth cutover. The parallel run provides a valuable opportunity to validate the new system in a real-world environment, ensuring that it is ready to support business operations. With a well-executed parallel run, organizations can minimize downtime, protect data integrity, and enhance user confidence in the new ERP system. This approach not only reduces the risk of migration failure but also sets the foundation for long-term success and operational efficiency.

Written by
SysGenPro Editorial

SysGenPro Editorial

Platform & solutions team

Practical guidance on ERP, AI automation, cloud deployment and enterprise transformation from the SysGenPro team.

Share this article

Frequently asked questions

Common questions on this topic. Talk to our team for anything specific to your business.

01What is the typical duration of an ERP parallel run?

The duration varies based on complexity, ranging from two to four weeks for simple upgrades to one to three months for complex migrations with extensive integrations.

02How do you handle data conflicts during a parallel run?

Data conflicts are handled through automated reconciliation processes, clear ownership models for issue resolution, and documented procedures for investigating and correcting discrepancies.

03Is a parallel run necessary for all ERP migrations?

While not mandatory for all migrations, a parallel run is highly recommended for complex implementations to validate data integrity and system performance before full cutover.

04What are the main risks of a long parallel run period?

Main risks include increased costs, user fatigue, potential data inconsistencies due to prolonged dual entry, and delayed realization of benefits from the new system.

05How do you measure success during a parallel run?

Success is measured through metrics such as data accuracy rates, system uptime, defect resolution status, and user feedback on system usability and performance.

06What happens if the new ERP system fails during parallel run?

If the new system fails, the legacy system continues to operate, ensuring business continuity. Issues are investigated and resolved, and the parallel run may be extended until stability is achieved.

Continue learning
View all articles
Explore the platform

Where to go next

Browse the knowledge hub

See how SysGenPro fits your business

Discuss your workflows, modules and deployment options with our team.

Back to resources