How we see it
We start with business outcomes.

Factor10 works from the business outcome backward — redesigning workflows, building the required data and AI capabilities, and embedding them into how the organization operates..
Define the outcome. Set the result, owner and measures of success.
Redesign the work. Improve the decisions, workflows and handoffs.
Build with your people. Capture the rules, exceptions and judgment that matter.
Deliver and embed. Build in increments, drive adoption and measure value.
Deliver value now. Build capability to scale.
Why it matters
Business Outcomes
Revenue Growth
Margin Improvement
Labour Efficiency
Customer Experience
The enablers
Analytics & AI
Dashboards
Predictive Models
Automation
Gen AI
Copilots
Agentic Workflows
The foundation
Trusted Data
Shared definitions · Business rules · Semantic models · Data quality · Ownership & governance
Shared Definitions
Business Rules
Semantic Models
Data Quality
Ownership & Governance

How We're Different
AI is easy to demonstrate.
Making it work takes transformation.
Many organizations have already launched a pilot, copilot or AI-enabled system without achieving the expected value. The technology may work, but the data, workflows, ownership and operating model around it have not changed.
Factor10 brings 20+ years of experience putting data, analytics and AI to work inside real businesses—and leading the transformation required to make them successful.
Sound Familiar?
The problems we get called about.
We have plenty of reports. We still don’t trust the numbers.
Shared definitions and ownership turn debate into decisions.
AI is a priority. The business case is unclear.
We identify the use cases worth pursuing, the foundations required to scale them and the outcomes they should be measured against.
We launched the tools. The way people work hasn’t changed.
Tools don't change behaviour. We redesign the workflows and decisions around them until the change sticks.
Our data platform is live. The business value isn’t.
We connect data across stores, e-commerce, distribution and finance so people can run the business from one trusted picture.
Critical work still happens in spreadsheets and people’s heads.
We turn hidden rules, judgment, exceptions and manual work into repeatable business capabilities.
Our team is stretched. We need leadership, not just more hands.
We embed experienced leaders who take ownership and move the work forward.

Where we work
our framework
The path to AI starts wherever you are.
You don’t need to perfect everything before starting with AI. We begin at the level each business problem requires.
Stage 1
Trusted Data & BI
Trusted data, shared definitions and reliable reporting.
Stage 2
Analytics in Decisions
Analytics embedded in the decisions and workflows that run the business.
Stage 3
AI at Work
Predictive models, copilots and agents that improve decisions and automate work.
Not every problem needs AI. We build what the decision requires—from trusted reporting and forecasting to automation, copilots and agents.
What we build
Four building blocks of scalable AI capability.
Each engagement combines the capabilities the business problem requires. We deliver measurable value through priority use cases while building reusable foundations for what comes next.

How we work
How we deliver the work.
1
Embedded
We work inside your teams, meetings and systems. The work moves daily, alongside the people who own it.
2
Proven Talent
Led by people who have run data, analytics and AI inside companies like yours.
3
Momentum
Something usable ships in weeks, then keeps shipping. Progress is visible, not promised.
4
Straight Talk
Plain language, honest trade-offs and risks raised early. You always know where things stand.
Representative work
The experience Factor10 was built on.
Factor10 is built on 20+ years leading data, analytics and AI across some of Canada’s best-known retailers—with a proven track record for delivery, adoption and results.
The Team Model
The right experts at every stage.
Factor10 gives each engagement access to experienced business, transformation, data, engineering and AI professionals. We bring in the roles the work requires, when it requires them.
Insights
Notes from inside the work.
Practical perspectives on building trusted data, useful analytics and AI that works inside complex businesses.

About the founder
Matt St. John

Founder, Factor10.
Matt St. John founded Factor10 after more than 20 years working at the intersection of business, data, analytics and technology.
His experience spans senior data and analytics leadership roles at companies including lululemon, Best Buy, Aritzia and Trail Appliances. He has built analytics teams, modernized data platforms, developed data science capabilities, redesigned operating models, and helped business leaders turn data into better decisions and measurable results.
That range has become increasingly important as AI changes how work gets done. Effective AI transformation requires more than technical expertise. It requires someone who can connect business strategy, economics, workflows, data, technology and organizational change — and carry an idea from an executive priority through to something people can actually use and trust.
Today, Matt works hands-on with generative AI, copilots and agentic systems while bringing the enterprise leadership and transformation experience required to deploy them responsibly and at scale.
Factor10 was built around that combination: start with the business outcome, understand how the work needs to change, then bring together the right data, analytics and AI capabilities to make it happen.
"The technology keeps changing, but the approach does not: real partnership with the business, a clear vision, a strong team and a relentless focus on results."
Why "factor10"
A factor is a multiplier. Factor10 exists to create step-change value while leaving each business more capable than before.
Start a conversation
Let’s get your transformation moving.
If you're investing in data, analytics and AI but not seeing the business change you expected, let's talk. The first conversation is a working session about where value is stuck — not a sales deck.










