Our thinking
Insights
Research and analysis on financial operations, data engineering, and what it takes to make finance actually work inside a growing company.
What CFOs Face in the First 30 Days Post-Acquisition
The recurring pattern of fractional CFOs dropped into fragmented data environments after a PE acquisition.
Speed, Quality, and Price — You're Missing Scope
The classic trade-off triangle is missing a fourth variable that changes everything.
Commitment Must Come Before Planning
Why even the best automation project fails if organizational commitment doesn't precede the first line of code.
All Decisions Flow Through Finance
Finance is already doing data work — the opportunity is to make that role explicit and optimize it.
Bayesian Thinking and Decision-Making Under Uncertainty
Why Bayes' theorem is the most important framework for making good decisions in an uncertain world.
Longer Holding Periods and the Case for Value Creation
As the quick-flip PE model slows, value creation through information infrastructure becomes the differentiator.
90% of the Finance Function Is Programmable
What happens when you put a CFO and a data engineer in the same room and take their work seriously.
Reporting Shock — The Hour a Deal Closes
The moment a PE acquisition closes, reporting requirements triple overnight — and most portcos aren't ready.
The False Promise of Accounting
How leaving Big 4 audit led to building a practice at the intersection of finance and data engineering.
5 Weeks to Under 5 Days
How better data infrastructure helped a client answer a million-dollar question in under a week.
The Roadmap — $100K in Time Savings and Margin Improvement
A real anonymized project roadmap showing how finance and data work together to unlock measurable results.
The Easy Part and the Hard Part of a PE Acquisition
Acquiring a company is the easy part — transferring operational knowledge into repeatable systems is the hard part.
Finding the Internal Champion
The real fix for broken automation projects is finding one person who bridges IT and the business.
Stop Wrangling Spreadsheets — Four Things You Actually Need
The four-step data stack that eliminates manual reporting and brings clarity to business decisions.
The 20-Hour Weekly Task Is an Opportunity
Why a role with a brutally inefficient routine task is actually a signal to run toward, not away from.
The Quiet Evolution — Process Over AI
Conversations with CFOs and COOs reveal that better process — not AI — is what's actually moving the needle.
The COO Spending 40% of His Time on Excel Exports
A manufacturing COO wasted 1,000 hours a year on spreadsheet exports — and didn't know there was another way.
Find a Team That Knows How to Fix It
Executives shouldn't need to know how to solve every problem — they need to know who can.
Playbook Step 0 — Clean Data
Before any analytics or automation can work, your data must be valid, accurate, complete, consistent, and uniform.