Conflicting metric definitions—teams then argue across ownership lines.
Decision charts
Data Analysis & Visualization
Many charts that don't answer 'what next' stay at presentation layer.
Cleaning, analysis and charts/dashboards for decisions.
Compliant crawling
We review target terms and legal boundaries first.
Reproducible envs
Locked deps and run notes—not 'works on my machine'.
Acceptable results
Samples and metrics define done—not vague 'looks ok'.
Analysis waste
These usually show up before a project starts—or right after a rushed launch.
Dirty data forced into charts—it often surfaces only after production impact.
No refresh cadence—iteration and local integration slow down.
Charts with no owner—users feel it as inconsistent data or UX.
Question-driven analysis
Each dashboard answers a decision; document definitions; rerunnable cleaning; name an owner. Align the business question first, then metrics and charts—with refreshable data notes, not one-off pretty pictures.
Align the business question first, then metrics and charts—with refreshable data notes, not one-off pretty pictures.
- Scope written before coding
- Milestones you can accept
- Handover notes included
Highlights
What this engagement typically covers.
Metric definitions
Included in scope after we confirm stack, constraints and acceptance checks.
Cleaning scripts
Included in scope after we confirm stack, constraints and acceptance checks.
Charts/dashboards
Included in scope after we confirm stack, constraints and acceptance checks.
Refresh notes
Included in scope after we confirm stack, constraints and acceptance checks.
What you get
- Cleaned dataset
- Analysis note
- Visuals
- Definition docs
- Refresh scripts
How we work
-
01
Question interview, with written stage outputs.
-
02
Data explore, with written stage outputs.
-
03
Analyze & chart, with written stage outputs.
-
04
Hand over, with written stage outputs.
Ready to lock scope?
Write three business questions—we'll design metrics.