Data foundations
Bring disconnected operational, customer and financial sources into one consistent view—with definitions everyone can trust.
Montreal · Data consultancy
Clear data.
Better decisions.
We turn fragmented business data into decision-support tools and management dashboards that people can understand—and act on.
Portfolio pulse
Decision viewChannelsUnifiedStore + online
InventorySignalledSKU-level view
Horizon2–4 weeksDemand shifts
Performance by market
Comparable view
Comparable view
CurrentPrevious
i Illustrative interface—built to show the signal, not the noise.
Founded in MontrealIndependent and locally grounded since 2021
Lean by designA focused, five-person delivery team
Human-first toolsMade for non-technical decision-makers
Mid-market focusRetail, hospitality and professional services
What we build
Decision tools people actually use.
Strong analysis only matters when it reaches the person making the call. We connect the data, surface the signal and design the answer around how your team works.
Decision support systems
Turn historical patterns and live signals into practical recommendations, alerts and scenario-ready planning tools.
Management dashboards
Give leaders a clear, current view of performance across the metrics, markets and channels that shape the business.
Featured engagement · 2026
One retail portfolio. Twelve stores. No shared view.
Ateliers St-Laurent asked us to connect inventory, customer behaviour and promotion performance across distinct brands, three provinces and two sales channels.
Replacing reactive retail decisions with connected, timely signals.
12 locations
3 provinces
~$8M annual revenue
Buying & merchandising DST
A SKU-level decision tool designed to combine point-of-sale activity, supplier lead times and sell-through history—so the team can plan reorders and spot slow-moving inventory earlier.
Executive management dashboard
A consolidated real-time view built for fast comparisons across brands, provinces, locations and channels—without waiting for month-end reporting.
Engagement shown as work in progress. Interface and outcomes will be validated against the client’s completed analysis.
How we work
Rigor in the model. Clarity in the room.
We work from the decision backward—then make the data, logic and interface support it.
Frame the decision
Align on the choices the tool must improve, the people making them and the timing that matters.
Connect the evidence
Reconcile source systems, definitions and quality issues before analysis begins to carry weight.
Build the logic
Create transparent calculations, classifications and models that can be reviewed—not a black box.
Design for action
Prototype with the end user, focus attention and make the next best action immediately legible.
The team
Small team.
Shared context.
Founded by two McGill graduates with backgrounds in information systems and marketing analytics, DataEngine keeps strategy, analysis and design close together from first question to final handoff.
02 Data analysts
01 Business analyst
01 UX designer
01 Managing partner
Start with the question
What decision should your data make easier?
Tell us where your team is losing time or confidence.
Start a conversation