Data Visualization
Dashboards worth opening.
Executive, operational, self-service, and embedded — all on foundations your team trusts.
Adoption is the hardest metric. We treat it like one.
Data Visualization · live signal
What this engagement looks like by the numbers
0+
dashboards shipped
0%
avg adoption rate
0
BI tools in rotation
Problems we solve
If any of these sound familiar, we can help.
What we build
The deliverables.
Executive dashboards
High-level views of business health. KPIs, trends, and alerts leadership actually looks at.
Operational dashboards
Real-time or near-real-time views for teams managing day-to-day operations.
Self-service analytics
Environments where business users can explore data without breaking things.
Embedded analytics
Customer-facing dashboards built into your product.
Engagement models
Three ways to work together.
01
Project-based
Ship a set of dashboards in a defined timeline.
Cadence
- Week 1Questions + audience
- Week 2-3Data validation + design
- Week 4-5Build + iterate
- Week 6Adoption + training
- Executive dashboard suite
- Migrate dashboards from Tableau to Looker
- Embed Sigma inside a SaaS product
02
Retainer
Ongoing dashboard development and iteration.
Cadence
- WeeklyDashboard sprint
- OngoingNew metric requests
- MonthlySemantic layer upkeep
- QuarterlyAdoption review
- Dashboard request queue management
- New metric implementation
- Semantic layer upkeep
03
Advisory
Design reviews, semantic modelling, tool selection.
Cadence
- Per PRLookML / semantic review
- MonthlyBI tooling check-in
- As neededVendor evals
- QuarterlyAdoption strategy
- LookML architecture review
- BI tool evaluation
- Adoption strategy
Tools we use
The toolbox.
SigmaPower BISuperset
Fivetran