Service Area
Dashboards that nobody looks at are expensive decorations. We build analytics capabilities your business leaders actually use to make faster, more confident decisions — with data they trust.
The Challenge
Most companies have a BI tool. Many have multiple. And yet, the most common thing we hear from executives is still: "I don't trust the data." Or "Every team's numbers are different." Or "By the time the report is ready, the decision has already been made."
The root cause is almost never the dashboard itself. It's the layer underneath — inconsistent definitions, undocumented business logic, no clear ownership, and a transformation layer that nobody fully understands.
We fix that first. Then we build the dashboards and reporting capabilities that sit on top. The result is analytics that earns trust — and actually changes how people in your organization make decisions.
Types of Projects
We meet you where you are. Whether you're starting from zero or fixing a broken reporting environment, here's how we typically scope the work.
A curated set of high-level dashboards built for C-suite and VP-level decision-making. Focused on the metrics that actually drive the business — revenue, margins, retention, pipeline — presented clearly, refreshed reliably, and trusted by everyone who sees them.
Reduce the analytics team's ticket backlog by giving business users the ability to answer their own questions. We design the semantic layer, access model, and training that makes self-serve actually work — without analysts spending every day fixing what people break.
Establish a single, centralized definition of every metric your business cares about. Using tools like dbt Metrics, Cube, or LookML, we create a source-of-truth layer that ensures everyone — across every tool and every team — is calculating revenue, churn, and conversion the same way.
If your stakeholders don't trust the data, no dashboard will help. We design and implement a data quality framework — automated tests, anomaly detection, SLA monitoring, and a clear process for investigating and resolving data issues before they reach the business.
Moving from Tableau to Power BI, from Looker to Metabase, or consolidating multiple tools into one? We plan and execute BI migrations that preserve your existing logic, eliminate duplicate reports, and leave you with a cleaner, more maintainable environment than you started with.
For organizations that want to build a durable internal analytics capability — not just projects. We help define the operating model, standards, and processes for an Analytics Center of Excellence: how work gets prioritized, how quality is maintained, and how the function scales as the business grows.
Tech Ecosystem
We work across the leading BI and analytics platforms. Tool choice is always driven by your team, your use cases, and your budget.
BI & Visualization
Metrics & Semantic Layer
Data Quality & Observability
Engagement Models
Scoped to your starting point and how fast you want to move.
A rapid assessment of your current reporting environment — what exists, what's used, what's trusted, and what needs to change. Produces a prioritized action plan.
2–4 weeksEnd-to-end delivery of a specific analytics capability — a dashboard suite, a self-serve platform, or a metrics layer — with full documentation and stakeholder sign-off.
4–12 weeksOngoing fractional support — sprint planning, code review, architecture decisions, and stakeholder management — embedded in your analytics team rhythm.
Monthly retainerCommon Questions
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