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Power BI–Driven Data Validation and Accuracy Framework for ERP Migration

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About Client

The client is one of Canada’s largest and most established construction companies, delivering complex infrastructure, industrial, and commercial projects across the country. With a diverse portfolio spanning institutional facilities, civil infrastructure, and energy projects, the organization manages thousands of concurrent operations that rely heavily on accurate, real-time project and financial data.

Business Objectives

The primary objective was to establish a robust validation and monitoring framework to ensure accuracy and integrity throughout the ERP data migration process. For a large construction enterprise managing multiple projects and financial operations simultaneously, maintaining data consistency across systems was critical to prevent downstream errors in reporting, costing, and compliance.
The solution aimed to automate validation across modules such as Accounts Payable, Job Costing, and Project Management by comparing source and target data in near real time. Power BI dashboards were designed to provide clear visibility into migration progress, highlighting discrepancies, tracking record-level changes, and ensuring audit readiness.
By integrating validation automation through Azure Data Factory and SQL Server with Power BI-based analytics, the objective was to deliver a fully transparent, scalable, and repeatable validation process, ensuring the reliability of migrated data and minimizing operational risks during the ERP transition.

Solution

A data validation and audit framework was developed using Azure Data Factory (ADF), SQL Server, and Microsoft Power BI to ensure accuracy and visibility throughout the ERP data migration.
An ADF-triggered stored procedure ran every three hours, extracting record counts from source staging and target ERP tables to validate migration scope and progress. Mapping tables aligned source and target fields, enabling module and column-level comparisons across areas like Accounts Payable, Job Costing, and Project Management.
Power BI dashboards delivered real-time insights with interactive summaries, module-level validations, and detailed mismatch tracking. DirectQuery ensured live connectivity, while drill-down filters replicated SAP-style navigation, allowing users to move seamlessly from overall metrics to record-level validations. This unified setup ensured transparency, automation, and auditability across all migration phases.
3D Data Validation
3D Data Validation
3D Data Validation
SAP HANA

Architecture Diagram

Results

The solution created a centralized and automated validation framework, improving data accuracy, audit readiness, and operational efficiency during ERP migration.
Automated ADF pipelines minimized manual effort and human error, while Power BI dashboards offered continuous visibility into migration progress, mismatches, and record-level details. Business and IT teams could identify issues faster, validate transformations instantly, and ensure complete trust in migrated data.
The system’s modular dashboards covering summary, module, and company-level insights now serve as a repeatable model for future data migrations, ensuring consistency, integrity, and transparency across the enterprise’s digital ecosystem.

In Our Customers’ Words

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