Data Done Right Advisory
Case Studies

Two projects.
Measurable outcomes.

The situations below are real. The numbers are defensible. Both projects started with a data foundation that wasn't built to support what the business needed to do next.

Decision-Grade Foundation

From ~40% to ~100% data accuracy — and the reporting foundation to match

A high-growth mobile commerce SaaS platform with $3B+ GMV had years of revenue and product data that leadership couldn't fully trust. Finance reconciled manually. Board reporting was unreliable. No consistent metric definitions existed across GTM, Finance, or Product. The project rebuilt the data foundation from the ground up — governed architecture, semantic layer, role-based access, and CFO-safe reporting adopted across the business.

Stack BigQuery · GCP · dbt · Airflow · ThoughtSpot
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~100% Data accuracy restored
90%+ Reduction in reconciliation time
6,200+ Defects retired from production

Charmaine built data we can trust. Her ability to communicate with stakeholders on data quality, while fostering alignment across teams, transformed how we approached reporting and decision-making.

Senior leader, Growth Marketing — same project
Commercial Evidence

Proving double-digit commercial lift from mobile app adoption — never done in the company's history

The same platform needed to prove its app drove net-new revenue, not just channel re-attribution. The question had never been answered in the company's history — prior attempts stalled because the order data was incomplete and the experiment design wasn't defensible. Resolving both problems together produced CFO-safe incrementality evidence that became a core asset in sales decks, marketing materials, and on the company website.

Stack BigQuery · BigQuery ML · GCP · dbt · Airflow · ThoughtSpot
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AOV ↑ Double-digit incremental lift
Frequency ↑ Double-digit incremental lift
Retention ↑ Measurable improvement — now in GTM materials

She brought structure, clarity, and vision to building our data warehouse and BI systems from the ground up while shaping the team and processes that supported them.

Senior Data Analyst, Product — same project
What this work demonstrates

Diagnosis before prescription

Both projects started by investigating what was actually happening — not by applying a template. The path forward was shaped by what the business needed, not what was easiest to deliver.

CFO-safe standards, not approximations

Reporting that holds up under board review requires more than dashboards. Definitions, lineage, ownership, and release discipline have to be in place before the numbers can be trusted.

Cross-functional alignment built in

GTM hygiene standards, engineering working sessions, departmental champions, and adoption programs were built alongside the technical work — because accuracy at the source is what makes accuracy at the board level possible.

Repeatable, not one-time

The incrementality framework became a ThoughtSpot playbook teams could re-run. The reporting foundation has sustained without requiring manual intervention. The goal is always a model the team can run, not a deliverable that expires.

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Recognize the situation?

If the reporting friction, metric disputes, or commercial questions in these case studies sound familiar, let's talk. Thirty minutes to understand the situation and whether there's a fit.

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