CVM designs and builds modern analytics systems that empower teams across the organization. From raw data to dashboards, we help you turn information into clarity — and action.

Whether you're building your first data warehouse or rethinking a legacy BI stack, our work connects business goals with technical execution. The result: faster answers, better decisions, and a data foundation that scales.

Our analytics engineering work spans the entire data stack — with solutions tailored to your specific tools, team, and objectives. Common deliverables include:

• Data pipelines – Clean, transform, and organize raw data for analysis
• Data warehouses – Centralize and structure data for flexible, scalable access
• Semantic layers – Create consistent, reusable definitions for key metrics and entities
• Dashboards & reports – Visualize KPIs, surface trends, and track performance
• Self-serve tooling – Enable analysts and business users to explore data independently
• Data quality & monitoring – Catch issues early and maintain trust in your numbers
• Governance frameworks – Define clear ownership, access controls, and data stewardship practices

We design systems that fit your organization — not the other way around.

We take a practical, phased approach to analytics engineering — helping you move from idea to production with speed, clarity, and confidence. Each phase is designed to deliver tangible progress and reduce uncertainty.

We’re happy to guide you through the full journey — but we don’t insist on it. Some clients bring us in just to prototype a dashboard or design a warehouse schema, then hand off to internal teams. Others rely on us to deliver a full, production-ready platform — and provide ongoing support to keep it running smoothly and evolving over time. Wherever you need us, that’s where we plug in.

1. Idea to Demo

Every project starts with a use case — and we believe in testing ideas quickly. Our Idea to Demo in 2 Weeks offering helps you validate an analytics concept, align stakeholders, and explore feasibility with a working prototype or dashboard. It’s a fast, low-risk way to go from data challenge to practical solution.

2. Demo to Prototype

If the demo shows promise, we move into deeper development: refining metrics, improving data models, expanding coverage, and connecting to more robust data sources. This phase often includes designing pipelines, testing transformations, and building out interactive visualizations. The goal: a scalable, maintainable analytics foundation.

3. Prototype to Production

We productionize the platform with performance, governance, and reliability in mind. That means robust orchestration, version-controlled transformations, quality checks, and integration into your business workflows. We don’t just build dashboards — we build systems your team can rely on every day.

4. Ongoing Improvement

Analytics needs change — new questions, new data, new priorities. We support ongoing iteration with monitoring, enhancements, and training to ensure your platform evolves with your business. Whether it's tuning performance or onboarding new users, we help your data systems keep delivering value over time.

We’re not a generic analytics vendor — we’re a trusted partner for organizations that want to move fast and get it right. Our clients choose us because:

• We speak both business and engineering – Our team brings experience across data science, product development, and consulting, enabling us to turn complex ideas into clear, actionable solutions.
• We don’t disappear behind the scenes – You work directly with the people building the model, not a project manager relaying updates.
• We’re fast, but thoughtful – We move quickly without sacrificing rigor, because we know speed matters — but quality matters more.
• We’ve seen what works (and what doesn’t) – Since 2017, we’ve delivered dozens of successful projects — and bring hard-won lessons from the field to every engagement.
• We build trust through transparency – No hand-waving, no black boxes. Just honest, collaborative work focused on results.

Whether you’re starting from scratch or scaling up an existing initiative, CVM brings the experience, agility, and depth to make analytics work for you.

We take data security seriously — and back it up with real controls, not just good intentions.

CVM is SOC 2 Type 2 compliant, with security practices audited annually across access controls, data handling, infrastructure, and organizational processes. We’re happy to provide our most recent Type 2 audit report upon request.

We follow strict protocols around data access, storage, and transfer — and design our solutions with your internal security and compliance needs in mind. Whether we’re working with sensitive customer data or internal documents, you can trust that your information is in good hands.

We work across a wide range of modern analytics and data engineering tools — and we don’t play favourites. Whether you're building in the cloud, modernizing on-prem, or adopting a hybrid approach, we’ll adapt to what works best for your team.

We have experience with:

• Data tools – dbt, Airflow, Spark, Fivetran, Stitch, pandas, SQL
• Warehouses & lakes – Snowflake, BigQuery, Redshift, Databricks, Postgres, S3
• Visualization – Looker, Tableau, Power BI, Metabase, Superset
• Monitoring & testing – Great Expectations, Monte Carlo, elementary, custom observability stacks
• Orchestration – Airflow, Prefect, Dagster

We work on a fixed-cost basis, so you know exactly what you’re getting — and what it will cost — before the project begins.

Every engagement is scoped to fit your goals, timeline, and budget. We’ll work with you to define a clear scope of work, and then deliver it for a flat, transparent fee — with no hidden costs or surprise overages.

This pricing model keeps everyone aligned and focused on outcomes. It also makes it easier for you to plan, get approval, and move forward with confidence.