All articles

Modernizing Data Infrastructure for One of Canada’s Largest Raw Materials Suppliers

Modernizing Data Infrastructure for One of Canada’s Largest Raw Materials Suppliers
Modernizing your data infrastructure is the foundation for AI readiness, operational efficiency, and competitive advantage. Learn why legacy systems fall short.

The Challenge

A leading Canadian raw materials supplier was preparing for a major migration to Oracle Cloud after years of growth, acquisitions, and reliance on legacy systems such as JD Edwards. Data was fragmented across finance, HR, and supply chain platforms, with inconsistent definitions, manual workarounds, and limited visibility. These issues introduced significant risk to the transformation, particularly around data accuracy, auditability, and business continuity at go-live.

The Approach

Definian partnered closely with the client to address data migration as a business-critical capability rather than a technical afterthought. Using the Applaud platform and a structured EPACTL-based methodology, the team focused on early data profiling, cleansing, deduplication, and validation. Complex legacy dependencies were addressed upfront, reconciliation was built into every stage of the process, and full traceability was maintained to support audit and compliance requirements across Financials, HCM, and SCM.

The Outcome

The Oracle Cloud migration went live on schedule with no disruption to operations. Legacy data issues were resolved before cutover, manual processes were eliminated, and stakeholders gained confidence in the accuracy and completeness of the data. The result was a clean, scalable data foundation that not only supported a successful transformation, but also positioned the organization for faster decision-making and long-term growth.

Other articles

Brittle Data Has a Cause. Data Malleability Is the Cure.

Brittle Data Has a Cause. Data Malleability Is the Cure.

Data Governance
Data Value Realization
Data debt names what went wrong. Data Malleability names the capability that prevents it. This article introduces a new framework for building data that absorbs change instead of fracturing under it.
The $800,000 Problem Hiding in Your Analytics Team

The $800,000 Problem Hiding in Your Analytics Team

Data Governance
Best Practices
Case Study
When 40% of your analytics team’s time goes toward hunting for data instead of analyzing it, the cost adds up fast. For one healthcare system, that hidden waste reached $800,000 a year. Here’s what actually fixed it.
Building a Data Quality Foundation for a Community College Using an AI-powered DQ Platform

Building a Data Quality Foundation for a Community College Using an AI-powered DQ Platform

Case Study
Data Governance
Best Practices
Following a Student Information System migration, a mid-sized community college faced persistent data reliability issues. A structured data quality program using an AI-powered platform established a scalable capability within six months.
Client testimonial
The Definian team was great to work with. Professional, accommodating, organized, knowledgeable ... We could not have been as successful without you.
Senior Manager | Top Four Global Consulting Firm

Partners & Certifications

Ready to unleash the value in your data?