Capabilities · Data and governance

Reliable, governed data that is ready for AI.

We turn scattered, incomplete or poorly documented data into a reliable, secure asset your teams and models can use.

The challenge

Lots of data, little trust.

Data usually exists in abundance, in the ERP, the CRM or spreadsheets. The problem is its quality, its documentation and the rules that govern its use.

  • Duplicate, incomplete or contradictory data
  • Models that underperform because of poor data quality
  • No one is sure which number is the right one
  • Legitimate concerns about security and privacy
  • Reports that never reconcile

What we do

Solid data foundations.

Data quality assessment

We measure the accuracy, completeness and consistency of your critical sources.

Data governance

Roles, ownership, policies and processes so every dataset has an accountable owner.

Data catalogue and dictionary

Clear documentation of your data: definitions, lineage, uses and owners.

Architecture: warehouse and lake

Choosing and designing the architecture that fits your volumes and uses.

Security and compliance

Access control, classification and compliance with privacy laws, including Quebec’s Law 25.

Data products

Reliable, documented and reusable datasets designed for a specific use.

How we work

From current state to data you can rely on.

Map

We inventory the sources, flows and real uses of your data.

Diagnose

We measure quality and find the root causes of issues.

Structure

We put governance, documentation and architecture in place.

Sustain

We equip your teams to keep quality high over time.

Frequently asked questions

What data teams ask us.

All capabilities

Our data is large but messy. What should we do first?

Identify the few datasets behind your critical decisions and start there. Cleaning everything at once rarely pays off.

Data warehouse or data lake?

A warehouse suits structured data and reporting; a lake suits large, varied volumes and data science. Many organizations combine both.

How can we use AI without compromising data security?

By classifying data, controlling access and choosing tools and vendors with clear data-use terms.

Let’s talk

A data or AI problem worth solving?

Tell us about the situation. We’ll reply with a first read of the problem and concrete next steps, with no commitment.

Write to us