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ERP Migration

How to Handle Custom Reports and Dashboards During ERP System Migration

A practical guide for CIOs and ERP consultants on migrating custom reports and dashboards. Learn how to inventory, map, test, and validate reporting assets to ensure data integrity and business continuity during ERP upgrades or replacements.

10 min readSysGenPro Editorial
How to Handle Custom Reports and Dashboards During ERP System Migration

How to Handle Custom Reports and Dashboards During ERP System Migration

Handling custom reports and dashboards during an ERP migration requires a structured approach that prioritizes data lineage, logical mapping, and rigorous validation. The primary risk is not just the movement of data, but the preservation of business logic embedded in these reporting assets. If custom reports rely on specific field names, aggregation rules, or historical data structures that change in the target system, the resulting dashboards may display inaccurate figures, leading to poor decision-making. The recommended approach involves a comprehensive inventory of all reporting assets, a detailed mapping of source fields to target fields, and a phased validation process that compares output from the legacy system against the new environment. This ensures that critical business metrics remain consistent and that users trust the new system. By treating reports as first-class migration artifacts rather than afterthoughts, organizations can mitigate the risk of reporting discrepancies and maintain operational continuity.

Phase 1: Inventory and Dependency Analysis

The first step is to create a complete inventory of all custom reports, dashboards, and scheduled jobs. This includes identifying the owner, frequency, audience, and criticality of each asset. Many organizations discover undocumented reports during this phase, which can lead to unexpected gaps in the new system. For each report, you must analyze its dependencies. This involves understanding which database tables, views, or API endpoints the report queries. You should also identify any custom code, such as stored procedures or scripts, that manipulate data before it is displayed. This dependency analysis is crucial because it reveals which parts of the report are tied to the specific structure of the legacy ERP. If a report depends on a field that is deprecated or renamed in the target version, you must plan for a transformation or a redesign of the report logic. Engage with business stakeholders to determine which reports are essential for daily operations and which can be retired or simplified. This prioritization helps focus resources on high-impact assets and reduces the scope of the migration effort.

Categorizing Reporting Assets

Not all reports are created equal. Categorizing them helps in planning the migration strategy. You can classify reports into three main groups: standard reports that can be replaced by native features in the new ERP, custom reports that require direct migration of logic, and complex dashboards that integrate data from multiple sources. Standard reports are the easiest to handle, as they often have direct equivalents in the target system. Custom reports require a detailed mapping of fields and logic. Complex dashboards may need to be rebuilt using a modern Business Intelligence (BI) tool that connects to the new ERP via APIs. This categorization allows you to apply different testing and validation strategies to each group. For example, standard reports can be validated quickly by comparing a few key metrics, while complex dashboards may require extensive end-to-end testing to ensure data flow integrity.

Phase 2: Data Mapping and Logic Translation

Once the inventory is complete, the next step is to map the data fields from the source system to the target system. This is a technical task that requires collaboration between IT and business analysts. You must create a detailed mapping document that shows how each field in the legacy report corresponds to a field in the new ERP. This includes not just the field names, but also the data types, formats, and any transformations required. For example, if the legacy system stores dates in a different format than the new system, you must define a conversion rule. Similarly, if the legacy system uses a specific code for a status, and the new system uses a different code, you must map these values. This mapping document serves as the blueprint for the migration. It also helps in identifying potential issues early, such as missing fields or incompatible data types. If a field in the legacy report does not have a direct equivalent in the new system, you must decide whether to create a custom field, use a workaround, or redesign the report. This decision should be documented and approved by the business owner.

Handling Aggregation and Calculation Logic

Many custom reports include complex calculations, such as totals, averages, or ratios. These calculations are often embedded in the report definition or in underlying database views. During migration, you must ensure that these calculations are preserved accurately. This requires a deep understanding of the business logic behind each calculation. For example, a report that calculates gross margin must use the same formula in the new system as in the old system. If the formula changes, the results will be different, leading to confusion and distrust. You should document each calculation and verify it against historical data. This can be done by running the same calculation in both the legacy and new systems and comparing the results. Any discrepancies must be investigated and resolved before the migration is considered complete. This step is critical for maintaining the integrity of financial and operational reports.

Phase 3: Development and Configuration in the Target System

With the mapping and logic defined, you can begin developing the reports in the target system. This may involve creating new report definitions, configuring BI tools, or writing custom code. The goal is to replicate the functionality of the legacy reports as closely as possible. However, you should also take this opportunity to improve the reports where appropriate. For example, if the legacy report is slow or difficult to use, you can redesign it to be more efficient and user-friendly. This requires close collaboration with the business users to ensure that the new design meets their needs. During this phase, you should also configure the access controls for the reports. This includes defining who can view, edit, or export each report. Access controls are critical for maintaining data security and compliance. You should test the access controls thoroughly to ensure that users can only access the reports they are authorized to see.

Phase 4: Testing and Validation

Testing is the most critical phase of the migration. You must validate that the migrated reports produce accurate results. This involves comparing the output of the new reports against the output of the legacy reports. You should use a representative dataset that includes a variety of scenarios, such as different time periods, product categories, and customer segments. The goal is to identify any discrepancies in the data or logic. Any discrepancies must be investigated and resolved. This may involve fixing the mapping, adjusting the calculation logic, or correcting the data in the target system. You should also test the performance of the reports. If the new reports are slower than the legacy reports, you may need to optimize the queries or the database indexes. Performance issues can lead to user frustration and reduced adoption. You should also test the scheduled jobs that generate the reports. Ensure that the jobs run at the correct times and that the reports are available when users expect them.

User Acceptance Testing (UAT)

User Acceptance Testing (UAT) is the final step in the validation process. This involves having the business users test the reports in a staging environment. The users should verify that the reports meet their requirements and that the data is accurate. They should also provide feedback on the usability of the reports. This feedback is valuable for making final adjustments before the go-live. UAT should be conducted with a representative group of users from different departments. This ensures that the reports meet the needs of all stakeholders. Any issues identified during UAT must be resolved before the migration is approved for production. This step is critical for ensuring user adoption and satisfaction.

Phase 5: Cutover and Deployment

The cutover phase involves moving the reports from the staging environment to the production environment. This should be done during a planned maintenance window to minimize disruption. You should have a detailed cutover plan that outlines the steps, responsibilities, and timelines. The plan should include a rollback strategy in case of issues. During the cutover, you should monitor the reports closely to ensure that they are functioning correctly. You should also communicate with the users about the changes and provide support as needed. After the cutover, you should continue to monitor the reports for a period of time to identify any issues that may not have been caught during testing. This post-migration monitoring is critical for ensuring long-term stability.

Post-Migration Stabilization and Optimization

After the migration is complete, you should enter a stabilization phase. This involves monitoring the reports for any issues and making adjustments as needed. You should also gather feedback from the users and use it to improve the reports. This may involve adding new features, improving performance, or simplifying the interface. You should also document the reports and provide training to the users. This helps to ensure that the users understand how to use the reports and can troubleshoot any issues. The stabilization phase is an ongoing process that continues until the reports are fully integrated into the business processes. By taking a proactive approach to stabilization, you can ensure that the reports remain accurate and useful over time.

Common Risks and Mitigation Strategies

There are several common risks associated with migrating custom reports and dashboards. One of the most significant risks is data loss or corruption. This can occur if the data mapping is incorrect or if the data is not properly transformed. To mitigate this risk, you should use a robust data migration tool and perform thorough testing. Another risk is reporting discrepancies. This can occur if the calculation logic is not preserved accurately. To mitigate this risk, you should validate the calculations against historical data and involve the business users in the testing process. A third risk is performance degradation. This can occur if the new reports are not optimized for the target system. To mitigate this risk, you should perform performance testing and optimize the queries and database indexes. By identifying and mitigating these risks, you can ensure a successful migration.

Best Practices for Long-Term Maintainability

To ensure the long-term maintainability of the migrated reports, you should follow several best practices. First, you should document the reports thoroughly. This includes the data sources, calculation logic, and access controls. This documentation helps to ensure that the reports can be maintained and updated over time. Second, you should use a version control system to manage the report definitions. This helps to track changes and roll back to previous versions if needed. Third, you should establish a governance process for the reports. This includes defining the roles and responsibilities for creating, modifying, and retiring reports. This helps to ensure that the reports remain aligned with the business needs. By following these best practices, you can ensure that the reports remain a valuable asset to the organization.

Conclusion

Handling custom reports and dashboards during an ERP migration is a complex but manageable task. By following a structured approach that includes inventory, mapping, development, testing, and stabilization, you can ensure that the reports remain accurate and useful. The key is to treat the reports as first-class migration artifacts and to involve the business users throughout the process. By doing so, you can mitigate the risks and ensure a successful migration. Remember that the goal is not just to move the reports, but to preserve the business logic and ensure that the users trust the new system. With careful planning and execution, you can achieve this goal and maintain operational continuity during the migration.

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SysGenPro Editorial

SysGenPro Editorial

Platform & solutions team

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

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Frequently asked questions

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

01Can custom reports be automatically converted during ERP migration?

In most cases, custom reports cannot be automatically converted. The logic, field mappings, and data structures often differ between systems. Manual mapping and validation are required to ensure accuracy.

02How do I ensure data accuracy in migrated dashboards?

Ensure data accuracy by performing rigorous testing and validation. Compare the output of the new dashboards against the legacy system using a representative dataset. Resolve any discrepancies before go-live.

03What is the first step in migrating custom reports?

The first step is to create a complete inventory of all custom reports and dashboards. Identify the owner, frequency, audience, and criticality of each asset.

04How long does it take to migrate complex reporting structures?

The time required depends on the complexity of the reports and the number of assets. Simple reports may take a few days, while complex dashboards can take several weeks. Plan for a phased approach.

05Should I rebuild or migrate existing custom reports?

This depends on the condition of the legacy reports. If they are outdated or inefficient, consider rebuilding them in the new system. If they are well-maintained and critical, migrate them with careful mapping.

06How do I test migrated reports before go-live?

Test migrated reports by comparing their output against the legacy system. Use a representative dataset and involve business users in User Acceptance Testing (UAT) to verify accuracy and usability.

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