About

Fortune 100 discipline.
Mid-market speed.

The problem we solve

Most PE-backed portfolio companies cannot reproduce last quarter's revenue from source systems in under an hour.

Finance, sales, and operations report different numbers for the same metric. Critical workflows run through spreadsheets maintained by one person. Historical data lives in formats that predate the current management team.

Buyers find all of it. The question is whether you fix it before they price it in.

Crawford McMillan exists to close that gap. We make portfolio company data defensible before diligence starts. Not with dashboards. With reconciled numbers, documented lineage, and answers that take hours instead of weeks.

52% of PE firms report portfolio valuations damaged by data problems in diligence
0.4x average multiple erosion when data issues surface during a transaction
90 days our standard timeline to make portfolio data diligence-ready
Founder
Graeme Crawford, Founder and CEO of Crawford McMillan

Graeme Crawford

Founder and CEO

Graeme Crawford spent 20 years leading data programs at Fortune 100 scale.

At Capital One, he led a cloud migration that enabled the closure of legacy data centers, saving hundreds of millions. He built a real-time web analytics platform with sub-millisecond latency that powered personalization and fraud decisioning across billions of transactions. He also built and scaled a data organization for External Affairs over 2.5 years, delivering actionable insights for approximately $70M per year in philanthropic spend and lobbying.

Before that, at IBM, he was the designated fixer for hostile recoveries and severely damaged implementations. At 24, he rebuilt an entire day of lost data for a major UK insurer.

Now he applies that same discipline to mid-market PE-backed companies preparing for exit. The same rigor that powered billions in transactions at Fortune 100 scale, focused on the 10 numbers that matter most to buyers.

How we work

Not a 12-month roadmap. A 90-day sprint.

01

Data Readiness Assessment

4 weeks. We interview 20-30 stakeholders, map how data flows through the business, and identify the 2-3 constraints doing the most commercial damage. You get a clear picture of what needs to fix and in what order.

02

Discovery Sprint

4-8 weeks. We take the primary constraint and build the fix. Reconciled cost data. Documented KPI lineage. Whatever the assessment identified as the highest-value intervention.

03

Value Creation Sprint

Ongoing. Once the foundation holds, we build on it. Automated reporting, forecasting capability, data room preparation. Each sprint has a defined scope, timeline, and measurable outcome.

Weekly Brief

Inside the Data Room

The weekly brief for PE operators who know data is the deal.

Get Inside