TOOLS & PATTERNS
Tableau
Tableau is where I translate metric definitions into clear stories. I lean on semantic layer thinking, stakeholder alignment, and dashboards that answer real decisions—no chart soup, just purposeful views.
Overview
I treat Tableau as a narrative tool: we define the questions first, design a semantic layer to keep metric logic consistent, and then build dashboards that let teams answer decisions quickly without hunting through chart soup.
What I ship
- Metric definitions captured with owners and rationale.
- Semantic layer thinking so dashboards stay consistent over time.
- Decision-ready dashboards aligned to stakeholders, not vanity charts.
Patterns
Metric foundations
Clear definitions, ownership, and thresholds before any chart is built.
Semantic layer first
Modeling the layer between source data and dashboards to prevent drift and duplication.
Decision dashboards
Layouts focused on answering a decision, with comparisons and thresholds front and center.
Examples
Artifacts coming soon.
Notes
Tableau shines when stakeholders need alignment and consistency. I avoid over-stacking charts and instead focus on the few views that move decisions forward; when teams want endless exploration, we pair Tableau with stronger data modeling upstream.