Parallel Run Periods: How Long to Run Legacy and New EAM Simultaneously

Parallel Run Periods: How Long to Run Legacy and New EAM Simultaneously

The Critical, Often-Skipped Phase of EAM Migrations

In the complex landscape of Enterprise Asset Management (EAM) system migrations, the parallel run period stands as a critical, yet frequently underestimated, phase. It's the period where both your legacy EAM system and your newly implemented EAM system operate simultaneously, processing the same data and transactions. While seemingly redundant, skipping or shortening this phase is akin to launching a new aircraft without flight testing – a risk that can lead to catastrophic operational disruptions and financial losses. The common adage, "Migration is not a copy-paste job. It's a cleanup opportunity disguised as a project," rings particularly true here. A robust parallel run is your final, comprehensive data validation and process verification before committing to the new system.

Why 2-4 Weeks is the Industry Standard Minimum

Industry best practice dictates a minimum parallel run duration of 2 to 4 weeks. This isn't an arbitrary number; it's a period carefully calculated to encompass a full operational cycle, allowing for the validation of both routine and periodic processes. A shorter duration risks missing critical, less frequent transactions or workflows, leading to unforeseen issues post-cutover. Consider the implications: if your preventive maintenance (PM) schedules run weekly or bi-weekly, a parallel run shorter than two weeks would fail to validate a complete PM cycle. Similarly, monthly reporting or reconciliation processes require sufficient time to generate and compare outputs from both systems.

This period provides the essential window to identify and rectify discrepancies between the legacy and new systems. These discrepancies often stem from data transformation errors, misconfigured business rules, or overlooked process variations. Addressing these issues proactively during the parallel run prevents them from escalating into major operational roadblocks once the legacy system is decommissioned.

What to Validate During the Parallel Run

The parallel run is an intensive audit of your new EAM system's functionality and data integrity. Key areas requiring meticulous validation include:

• Work Order (WO) Creation and Lifecycle: Ensure that work orders can be created, planned, scheduled, executed, and closed in the new system, mirroring the legacy system's process. Validate status transitions, labor, material, and service assignments, and associated cost postings. This includes both corrective and preventive work orders.
• Preventive Maintenance (PM) Generation: Verify that PM schedules are correctly triggering and generating work orders according to defined frequencies and parameters. Compare generated PM WOs in the new system against those in the legacy system for accuracy in scope, assets, and resources.
• Parts Consumption and Inventory Management: Track material issues, returns, and transfers in both systems. Reconcile inventory levels, ensuring that parts consumption against work orders is accurately reflected. This is crucial for maintaining accurate stock levels and avoiding stockouts or overstocking.
• Cost Posting and Financial Integration: Confirm that all costs (labor, material, services) associated with work orders are correctly posted to the appropriate cost centers and general ledger accounts. Validate integration points with financial systems, ensuring data flows seamlessly and accurately for reporting and reconciliation purposes.
• Asset Data and Hierarchy: Verify that asset master data, including specifications, locations, and hierarchical structures, is accurate and complete in the new system. Test asset-related transactions like asset transfers, disposals, and depreciation calculations.
• Reporting and Analytics: Generate key operational and financial reports from both systems and compare the results. Discrepancies here often highlight underlying data or configuration issues that need immediate attention.

Managing the Operational Burden

Running two EAM systems simultaneously is undeniably resource-intensive. It requires a dedicated team to manage data entry, transaction processing, and reconciliation in both environments. This dual effort can strain operational teams already stretched thin. To mitigate this burden:

• Phased Approach: Consider a phased rollout for larger organizations, focusing on critical modules or business units first. This reduces the scope of the parallel run at any given time.
• Automated Comparison Tools: Leverage tools or scripts to automate the comparison of data and transaction outputs between the two systems. This significantly reduces manual effort and improves accuracy in identifying discrepancies.
• Clear Roles and Responsibilities: Define explicit roles and responsibilities for the parallel run team, including data entry, reconciliation, issue logging, and resolution. A clear chain of command ensures efficient problem-solving.
• Temporary Resource Allocation: Allocate additional temporary resources or reassign existing personnel to support the parallel run. This investment upfront prevents much larger costs associated with post-cutover failures.

When is it Safe to Cut Over?

The decision to cut over from the legacy system to the new EAM is not based on a calendar date, but on a rigorous assessment of confidence. It's safe to cut over when:

1. All Critical Discrepancies Resolved: Every significant data or process discrepancy identified during the parallel run has been investigated, understood, and resolved. This includes root cause analysis and verification of fixes.
2. Key Performance Indicators (KPIs) Align: Operational and financial KPIs generated from the new system consistently align with those from the legacy system within acceptable tolerances. This indicates that the new system is accurately reflecting business performance.
3. User Confidence is High: End-users, particularly those in critical operational roles, express confidence in the new system's functionality and data accuracy. Their buy-in is paramount for successful adoption.
4. Comprehensive Testing Completed: All test scripts, including user acceptance testing (UAT) scenarios, have been executed successfully in the new system, with all identified defects remediated.

The Struktive Advantage: Reducing Parallel Run Duration

One of the most significant factors influencing parallel run duration is the quality of data migrating into the new system. Clean data going into the new system reduces parallel run duration — fewer data-driven discrepancies to investigate. This is where Struktive plays a pivotal role. Struktive is a self-serve EAM data normalisation tool designed specifically for mine sites and MRO teams. By automating the data preparation step – cleansing, standardizing, and enriching your EAM data before migration – Struktive drastically minimizes the data-driven discrepancies that typically prolong parallel runs. Fewer data issues mean less time spent on investigation and reconciliation, allowing your team to focus on process validation and accelerating your path to cutover. Leveraging Struktive ensures that your new EAM system starts with a solid, reliable data foundation, making your parallel run smoother, shorter, and ultimately, more cost-effective.

Key Takeaways

• Parallel runs are non-negotiable: Skipping this phase is a false economy, leading to greater risks and costs post-migration.
• Industry standard is 2-4 weeks: This duration allows for comprehensive validation of operational cycles and periodic processes.
• Validate thoroughly: Focus on WO creation, PM generation, parts consumption, and cost posting to ensure data integrity and process accuracy.
• Manage the burden: Employ phased approaches, automation, clear roles, and temporary resources to ease the operational strain.
• Cutover on confidence, not calendar: Only transition when all critical discrepancies are resolved, KPIs align, and user confidence is high.
• Clean data is key: Tools like Struktive significantly reduce parallel run duration by ensuring high-quality data from the outset, minimizing discrepancies.

Frequently Asked Questions

Q1: What is the primary risk of skipping a parallel run during an EAM migration?

A1: The primary risk is encountering critical operational disruptions and financial losses post-cutover due to undetected data discrepancies, process misconfigurations, or integration failures. These issues are far more costly and complex to resolve in a live production environment.

Q2: How does data quality impact the length of a parallel run?

A2: High-quality, clean data significantly reduces the duration of a parallel run. Fewer data-driven discrepancies mean less time spent on investigation, reconciliation, and remediation, allowing the team to focus more efficiently on validating system functionality and business processes.

Q3: Besides technical validation, what other factors are crucial for a successful cutover?

A3: Beyond technical validation, user confidence and alignment of key performance indicators (KPIs) are crucial. Ensuring that end-users trust the new system and that its outputs consistently match legacy system performance within acceptable tolerances are vital indicators of readiness for a successful cutover.