Business Intelligence
Dashboards that answer the question. And surface the next one.
Most BI is read once and ignored. The reports that get used share three traits: the data is clean, the questions match the meeting, and the next number to investigate is one click away. Ten years inside data teams taught me to build for that, not for a Tableau showcase.
What's inside
Leadership-grade dashboards on a real semantic model.
- 01
Executive dashboards
Revenue, pipeline, churn, NPS, cash — the numbers the CEO and the board actually open. Built on the semantic layer so they don't drift from finance.
- 02
Team-specific BI
Sales, marketing, ops, product — each team gets the dashboard that makes their meeting shorter. One stack, four lenses.
- 03
Anomaly callouts
Spikes, dips, regime changes flagged inline — so the next question is in front of you before you ask. Quietly the most valuable addition.
- 04
BI tool selection
Looker, Metabase, Hex, Sigma, Lightdash. Each fits a different team. I'll pick the one that matches your stack and budget, not the one I'm best paid to sell.
How an engagement starts
Define the questions. Build the model. Ship dashboards.
- 01
Question audit
We map the questions leadership and teams ask weekly — and rank by what's currently unanswerable. That's the BI backlog.
- 02
Semantic model first
Before the first chart, the definitions: revenue, churn, MQL, NRR. Agreed, documented, versioned. Skipping this is why most BI projects rot.
- 03
Dashboards in sprints
Two-week sprints, weekly demos. Each sprint ships at least one production dashboard. Most engagements run 2–3 months.
30 minutes. We map the questions worth answering this quarter.
Common questions
- Do I need a data warehouse?
- Almost always yes — BigQuery, Snowflake, or Postgres for smaller scale. I'll set it up if you don't have one. Building BI directly on production DBs eventually breaks.
- How long until I see value?
- First production dashboard in week three. By week eight, leadership is using the new stack instead of the old spreadsheets.
- Does this include the BI tool license?
- No — you pay the vendor directly. I help you pick and configure.
Also under Analytics
Semantic Layer
One definition of every metric. Across teams. Across tools.
Automated Reporting
The Monday brief, written by the data. Not the analyst.
Interactive BI
Self-service dashboards the team actually opens.
Agentic Data Intelligence
Agents that watch the metrics. And explain the spike before you ask.