ABOUT PAINT WITH DATA

We help organizations
make more of their data.

Deep analytics expertise. Practical solutions.
A team that works alongside yours.

OUR STORY

Built around analytics.

Paint with Data was founded on a simple belief: organizations can do more with their data when they have the right people, the right technology, and a clear understanding of their business.

We’re a boutique consultancy with deep expertise in the Tableau ecosystem. Our clients work directly with experienced practitioners who understand both the technology and the real business problems behind it.

As analytics evolves - from dashboards to semantic models to AI - we help organizations modernize, build strong data foundations, and prepare for what comes next.

Candice Munroe
Founding Partner and President

I’ve always believed that successful analytics is as much about people as it is about technology.

My role at Paint with Data is focused on helping clients turn analytics investments into something their organizations can actually use and sustain. That means understanding what teams are trying to accomplish, bringing the right people together, and making sure the solutions we build work for the people who depend on them.

Through my work with clients and the Tableau community, I’ve seen how much difference it makes when people feel confident working with their data. Great technology matters, but adoption, communication, enablement and trust are what ultimately turn that technology into business value.

As analytics evolves toward AI, that human side becomes even more important. Organizations need people who understand their data, agree on what it means, and have confidence in how it’s being used.

My focus is on helping our clients build that capability - not just delivering a solution, but leaving them stronger and better equipped for what comes next.

I am a 6-time Tableau Ambassador and former leader of the Toronto and Canada Tableau User Groups. I was also a leader of the Data Career Pathmakers User Group.

Kirk Munroe
Founding Partner and Chief Analytics Architect

I’ve spent my career helping organizations make better use of data - not simply by building dashboards, but by understanding the business questions behind them and designing analytics around the answers people actually need.

As a Tableau Visionary and Ambassador, I’ve had the opportunity to work deeply within the Tableau ecosystem, helping organizations solve complex analytics challenges, modernize their data environments, and rethink how business knowledge is represented in data.

Today, I’m particularly interested in the intersection of analytics, semantic models, and AI. AI changes what we can do with data, but it also makes something we’ve always cared about at Paint with Data even more important: the data needs meaning.

Definitions, relationships, calculations, business rules and context are what turn data into something people (and increasingly AI!) can understand and trust.

That’s the work I love: taking complicated data problems, understanding how the business really works, and turning that knowledge into analytics and data foundations that can support what comes next.

Roderick Munroe
Client Services Director

I’ve spent the past eight years working in the Tableau ecosystem, including six years full-time, helping organizations turn their data into insights they can actually use.

I’ve worked with clients across a wide range of industries and business challenges — from improving existing analytics environments to helping teams get more value from their data. My focus is always on making analytics practical, accessible, and connected to the questions the business is trying to answer.

Today, much of my focus is on what comes next: helping organizations become AI-ready.

AI can do remarkable things with data, but only when that data has the structure, context, governance, and business meaning it needs. That makes the work organizations have already done in analytics more important, not less.

I help clients build on those foundations - modernizing their analytics, strengthening how they manage and understand their data, and preparing it to support both better decisions today and intelligent, AI-powered experiences tomorrow.