Published:
March 11, 2016
Category:
Ideas / Technology
Client:
Layton Systems
Layton Systems – Traverse ERP Implementation – Data Migration
Overview:
Layton Systems, a manufacturing and distribution business, needed to transition from outdated systems to a modern ERP solution. The project aimed to implement Traverse ERP to streamline processes, improve data accuracy, and support scalability.
Challenge:
During the ERP transition, legacy data existed across multiple disconnected systems. The migration posed risks of data loss, inconsistencies, and downtime if not handled with precision. Manual methods were too slow and error-prone for the scale of information involved.
Scripting Approach:
To streamline the migration process, I developed and deployed a series of targeted scripts that automated critical steps:
Data Extraction: Created SQL scripts to pull structured data from legacy databases, ensuring full record coverage.
Data Transformation: Built transformation scripts to map legacy fields to Traverse ERP structures, applying normalization and validation rules.
Load Automation: Implemented batch scripts to automate the loading of cleansed data into Traverse ERP, reducing manual intervention.
Validation & Auditing: Designed scripts to reconcile record counts, financial balances, and transactional histories, with automated logs for exceptions.
Testing Scripts: Simulated test loads in staging environments to confirm accuracy and performance before the production cutover.
Impact:
Reduced migration execution time from weeks of manual work to a repeatable, script-driven process completed in days.
Achieved 99%+ data accuracy across finance, operations, and resource planning modules.
Minimized business disruption by automating reconciliation and exception handling.
Established reusable scripts and documentation for future upgrades and audits.