Your Data Foundation Is Your Competitive Advantage
Most companies over-invest in dashboards and under-invest in the infrastructure, governance, and architecture that makes data actually useful. We help CPG and retail brands build data foundations that drive decisions—not just reports.
Data Foundation Results
Real outcomes from companies that invested in their data foundation
Mid-Market CPG Brand
Data Foundation Assessment & Roadmap
Conducted comprehensive 8-dimension maturity assessment for a $200M CPG brand struggling with fragmented data across 6 systems. Delivered prioritized 12-month roadmap that identified $2M in potential efficiency gains and a clear path from reactive reporting to proactive decision-making.
PE-Backed Consumer Brand
Infrastructure + Data Foundation Build
Built cloud data platform and governance framework for portfolio company preparing for exit. Migrated from spreadsheet-driven operations to unified data model with automated quality checks, enabling real-time trade spend visibility and compliant data practices.
Regional Retailer
Analytics + Agentic Commerce Readiness
Deployed KPI framework and self-service analytics for category management team, then prepared product data infrastructure for AI-powered commerce. Machine-readable product attributes now power both internal analytics and external AI agent discovery.
The Real Problem with Most Data Initiatives
Companies over-invest in the visible parts of analytics and under-invest in what makes analytics actually work
Over-Invested in Dashboards
You've built dozens of reports and visualizations, but they're sitting on top of fragmented, inconsistent data. The insights they show can't be trusted, so decisions still get made on gut feel.
Under-Invested in Infrastructure
Your data lives in silos—ERP here, retailer portals there, spreadsheets everywhere. No unified view, no single source of truth, and a lot of manual work to connect the dots.
Missing Governance
Nobody knows who owns what data, how it's defined, or whether it can be trusted. Quality issues surface in executive presentations. The same metric means different things to different teams.
Architecture Built for Yesterday
Your current setup can't support what's coming. AI agents, real-time analytics, machine-readable product data—you're not ready, and retrofitting is harder than building right the first time.
The bottom line: You can't build lasting analytics value on a shaky foundation. The companies winning with data aren't the ones with the most dashboards—they're the ones with infrastructure, governance, and architecture that make their data actually trustworthy and usable.
How We Can Help
Modular services that build on each other. Start with an assessment, implement what matters most, and sustain the value over time.
Data Foundation Assessment
Where you are today — and what to do about it
A comprehensive diagnostic of your data ecosystem that delivers a prioritized 12-month roadmap. We assess maturity across 8 dimensions, audit your infrastructure, and identify the gaps between where you are and where you need to be.
Infrastructure & Tooling Build
The technical foundation everything else depends on
Cloud architecture, data platform implementation, ingestion pipelines, transformation layers, CI/CD, and security frameworks. The technical backbone that makes everything else possible.
Data Foundation Build
Making your data governed, trustworthy, and ready for anything
Unified data models, governance frameworks, automated quality checks, data lineage, semantic layers, and access controls. Turn fragmented data into a governed, reliable asset.
Analytics Design & Deployment
Less is more — tracking only what moves the business forward
KPI frameworks tied to strategy, dashboard implementation, self-service analytics enablement, and analyst training. Focused metrics that drive decisions, not dashboard sprawl.
Agentic Commerce Readiness
Future-proofing your data for the AI-powered commerce era
Prepare for the coming shift where AI agents make purchasing decisions. Product data audits, machine-readable content frameworks, API strategy, and competitive benchmarking.
Ongoing Advisory & Support
Fractional data leadership and continuous improvement
Fractional CDO services, monthly architecture reviews, on-demand advisory, quarterly maturity re-assessments, data team coaching, and vendor management support.
Why Work With Us
My name is Jason Weir. I'm a Data & AI Transformation Leader, based in Australia, with more than two decades of experience working globally across the CPG and retail industry—not as an external advisor, but as a practitioner. I've led platform and data engineering teams, developed commercial systems, and held sales and marketing roles spanning multiple regions. This breadth of experience has given me a clear view of where decisions stall, which initiatives genuinely drive results, and why so many data and AI projects fall short of their promise.
That experience shapes everything we do now.
Our Principles
Right-sized, not oversized
We build what you need, not what looks impressive on a slide deck. Every component earns its place by solving a real problem.
Foundation first, flashy later
Dashboards on shaky data are worse than no dashboards at all. We get the foundation right before we build anything visible.
Opinionated but flexible
We have strong views on what works, but we adapt to your context. Best practices are a starting point, not a straitjacket.
Transfer, don't trap
We build capabilities you can own and operate. No vendor lock-in, no mysterious black boxes, no dependency on us to keep things running.
Prove value early
Long projects without visible progress kill momentum. We structure engagements to deliver tangible value at each stage.
We Know Where the Money Leaks
Trade spend optimisation, RGM, promotional analytics—these aren't abstract concepts to us. We've built the integrations that connect finance, sales, and supply chain data.
We've seen what happens when those connections don't exist: weeks lost to manual reconciliation, decisions made on gut feel instead of evidence, and millions left on the table.
We build solutions that close those gaps.
Technical Depth, Commercial Instinct
Most technical consultants don't understand commercial reality. Most commercial advisors can't evaluate technical feasibility.
We've worked both sides—architecting data platforms and sitting in retailer negotiations.
That means we design solutions that are technically sound, commercially viable, and actually get adopted by the teams who need them.
Results in Weeks, Not Quarters
We don't deliver strategy decks that sit on shelves. We focus on practical implementations with measurable outcomes.
This means automating a process that's consuming your team's time, surfacing insights that were previously invisible, or building a proof of concept that demonstrates value before you commit to a larger investment.
You'll see progress quickly.
Who We Work With
The Engagement Path
A proven progression from assessment through implementation to sustained value. Start anywhere, but the sequence matters.
Diagnose
Service 01
Understand where you are today with a comprehensive data foundation assessment and prioritized roadmap
Build
Services 02 + 03
Construct the infrastructure and data foundation—the technical backbone and governed data assets everything else depends on
Activate
Service 04
Deploy analytics that drive decisions—focused KPIs, dashboards, and self-service capabilities tied to business outcomes
Future-Proof
Service 05
Prepare for the AI-powered commerce era with agentic commerce readiness—machine-readable data and API strategies
Sustain
Service 06
Maintain momentum with ongoing advisory, fractional CDO support, and continuous improvement
Not sure where to start? Most clients begin with a Data Foundation Assessment to get clarity on their current state and a prioritized roadmap before committing to implementation work.
The Vision
Data Foundation as Competitive Advantage
The companies winning in CPG and retail aren't the ones with the most dashboards. They're the ones with data foundations that actually work—governed, trustworthy, and ready to power whatever comes next.
That "next" is coming faster than most realize. AI agents are already making purchasing decisions, scanning product data, comparing alternatives, and recommending choices to consumers. The brands that show up in those AI-driven moments will be the ones whose data is machine-readable, structured, and discoverable.
This isn't about building the biggest data lake or the fanciest analytics platform. It's about building the right foundation—one that supports today's decisions and tomorrow's AI-powered commerce landscape.
The Journey
Every engagement follows this progression—from understanding where you are today, through building the technical and data foundations, to activating analytics and preparing for the AI-powered future. The goal isn't a one-time project. It's sustained competitive advantage.
If you're ready to stop treating data as a cost center and start treating it as the competitive weapon it should be—let's talk.
Let's Talk About Your Commercial Data Challenges
Book a 30-minute call to discuss how AI can help your CPG team work smarter