Our Expertise
Architecture
We design architectures aligned with your business goals, using a federated methodology that breaks down silos, reduces technical debt, and establishes a single source of truth for your data.
Modernization
We facilitate the transition from legacy platforms (Oracle, SQL Server, Teradata, IBM DB2) to modern, scalable environments (Microsoft Fabric, Databricks, Snowflake), with governance built in: auditing, lineage, and cataloging.
Analytics
Using prediction, segmentation, and dashboards, we turn data into concrete decisions, moving you from a reactive posture to a proactive one, with measurable ROI.
Governance
We put in place the rules, roles, and responsibilities that turn data into a trusted asset, compliant with Quebec’s Bill 25, reducing duplication and improving discoverability.
DataOps
We apply the same rigor to data pipelines as traditional software engineering (automation, CI/CD, built-in testing) for data that is reliable and scalable, with fewer production incidents.
OneMigration, AI Powering Your Modernization
Modernizing a data platform often means migrating code: SAS scripts, legacy applications, aging ETL processes. OneMigration is our proprietary platform for generative AI-assisted migration. It’s a multi-agent system that analyzes, translates, tests, and documents your source code, rather than rebuilding everything by hand.
This approach has reduced manual translation time by up to 90% and significantly cut the overall migration effort on projects. The platform can be deployed in the cloud or on-premises, depending on your security and data sovereignty requirements.
FAQ
Migration moves your data or code to a new platform. Modernization goes further: it rethinks the architecture to reduce costs, improve performance, and build in governance from the design stage.
Quebec’s Bill 25 imposes strict obligations for protecting personal information, including rigorous governance (auditing, traceability, and accountability).
Here are the most common signals: end-of-life technologies, difficulty recruiting experts for these systems, rising infrastructure costs despite stable usage, or a growing number of workaround solutions (spreadsheets, local databases).
Specialized agents analyze the source code, translate it, test it, and generate documentation in parallel, considerably reducing the time and risk compared to an entirely manual migration.
Have a Data project in mind? Let’s talk.
Contact
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Thierry Desjardins
Leader - Data & Analytics