Data Carve-Out Services: What Separation Actually Costs and Who Should Own It
Data carve-out services priced honestly. What separation scope really includes, realistic cost ranges, build versus buy, who should own it, and what to ask a provider.
Inside the Data Room
Data Strategy for PE Operators
Practical guides on data diligence, exit readiness, and the data problems that erode valuation.
Essential Guides
Pillar Guide
Two Years In and the Growth Isn't There: How to Diagnose a Stalled Value Creation Plan
You are two years into the hold and the value creation plan is behind. Before you reorganize or replace the team, find the real constraint. A practitioner framework for diagnosing why portfolio growth stalls and what actually unblocks it.
Pillar GuideMid-Market PE in 2026: The Numbers That Matter and What They Mean for Your Portfolio
The comprehensive mid-year reference. Bain's deal math shift, GF Data's quality premium compression, the exit backlog, LP pressure, AI adoption, and the add-on surge. Every data point that shapes portfolio operations in 2026.
Pillar GuidePortfolio Data Operations: A Repeatable Playbook Across Companies
Operating partners managing multiple portfolio companies need a repeatable data playbook, not bespoke strategies for each acquisition. This guide covers what to standardize, what to leave alone, and how to deploy in 90 days.
All Posts
The Initiative That Looked Like It Worked: Why Portfolio Companies Can't Tell Success From Noise
Measuring value creation initiatives takes a baseline, one agreed metric definition, and the ability to decompose growth. Without them, success is a story, and the next bet gets funded on it.
Two Years In and the Growth Isn't There: How to Diagnose a Stalled Value Creation Plan
You are two years into the hold and the value creation plan is behind. Before you reorganize or replace the team, find the real constraint. A practitioner framework for diagnosing why portfolio growth stalls and what actually unblocks it.
Structure Follows Clarity: The One Principle That Connects Every Organizational Failure in PE
The credit games, the hidden data, the permanent pilots, the unused dashboards, the pointless reorgs. All symptoms of the same gap. The organization does not have a shared, trusted version of its own numbers.
Mid-Market PE in 2026: The Numbers That Matter and What They Mean for Your Portfolio
The comprehensive mid-year reference. Bain's deal math shift, GF Data's quality premium compression, the exit backlog, LP pressure, AI adoption, and the add-on surge. Every data point that shapes portfolio operations in 2026.
Stop Hiring a CDO When You Have Not Made the Decision
The board hires a CDO to fix the data without agreement on what fixed means. Without budget authority. Without executive alignment. You have not hired a leader. You have hired a shield.
The Deal Obstacle Nobody Talks About: How Diligence Red Flags Kill More Deals Than Pricing
Bain's GP survey puts diligence red flags as the #2 deal obstacle. Inflated expectations are #1. Both come down to the same thing: can the numbers survive scrutiny?
Why Your Data Team Gets Blamed for Problems the Organization Created
The data team did not create the three ERPs that do not agree. Nobody funded the infrastructure. Nobody gave them authority. They inherited the org chart's dysfunction and got handed a deadline.
How AI-Powered Due Diligence Is Raising the Bar for Every Seller
Buyers are screening deals in 2 days instead of 2 weeks. AI surfaces inconsistencies faster than any human team. Your data problems will be found. The question is whether you find them first.
The Reorg That Fixes Nothing: Why New Reporting Lines Never Solve Infrastructure Problems
Results stall. First move: redraw the org chart. Six months later the same problems report to different people. The reorg moved the boxes. The boxes were never the problem.
LP Pressure in 2026: What Limited Partners Now Demand From GPs
Fundraising is down 16% and over half of LPs report more leverage than a year ago. Here is what limited partners now demand from GPs in 2026: faster distributions, real-time portfolio reporting, and operational value creation.
The Dashboard Nobody Opens: When $500K of Reporting Infrastructure Becomes Organizational Theater
Six figures on reporting. 47 dashboards. Beautiful visualizations. Nobody opens it. Not because the tool is bad. Because the numbers would start a conversation nobody wants to have.
The Add-On Surge Is Creating a Data Integration Crisis Nobody Planned For
Add-on acquisitions surged through 2024-2025, mostly sub-$50M, financed off existing credit facilities. Each bolt-on brings its own ERP. Nobody budgeted for data integration. The downstream cost shows up at exit.
The Pilot That Never Ships: How 'Proof of Concept' Became the Most Expensive Stall Tactic in PE
A POC without a decision framework is not an experiment. It is a stall. Fourteen months of 'promising results' on a five-year hold is 23% of the runway spent not deciding.
The Quality Premium Is Compressing: What GF Data's Numbers Mean for Your Exit
GF Data's quality premium dropped to 3%. Fewer companies qualify as above average. The premium is compressing from the top, not the bottom. Even good companies need sharper differentiation in diligence.
You Priced Honesty Too High: Why Portfolio Companies Hide Data Problems from the Board
When surfacing a data problem gets you scrutinized instead of supported, people stop surfacing problems. The downstream cost appears in diligence, years after it was still fixable.
The PE Exit Backlog: 32,000 Companies, $3.8 Trillion, Nowhere to Go
The unrealized PE portfolio has hit $3.8 trillion across 32,000 companies, and average holds have stretched to seven years. Every extra year erodes the return. Why data readiness in year one is what protects your exit.
The Credit-Accountability Gap: Why the Quarterly Board Meeting Model Is Breaking Down
PE firms that advise from a distance and claim credit selectively are running out of runway. The math demands shared accountability between sponsors and management teams.
12 Is the New 5: Why Financial Engineering Can No Longer Carry PE Returns
Required EBITDA growth doubled in a decade while leverage dropped and rates rose. The math now demands operational value creation, and data infrastructure is how you deliver it.
The Two Integrity Gaps That Quietly Destroy Portfolio Company Value
Data integrity and leadership integrity are twin blind spots that erode PE portfolio company value long before diligence. Why they travel together, and how to diagnose and fix both in 90 days.
Carve-Out Data Separation: The 5-Phase Playbook Nobody Writes
Data separation is the hardest technical problem in any carve-out. The five phases from inventory to standalone infrastructure, the traps that turn a $2M six-month scope into $5M and fourteen months, and how to scope it right.
DPI Pressure and the Data Gap
DPI has become the most scrutinized LP metric, creating exit urgency that flows directly to portfolio companies. Clean data operations are now the difference between transacting and waiting.
The Hidden 0.5x: How Data Errors Leak Value Post-Close
Most data-and-valuation conversations focus on pre-close diligence. But data errors continue to destroy value after the close through revenue leakage, procurement waste, and delayed value creation.
Portfolio Data Operations: A Repeatable Playbook Across Companies
Operating partners managing multiple portfolio companies need a repeatable data playbook, not bespoke strategies for each acquisition. This guide covers what to standardize, what to leave alone, and how to deploy in 90 days.
Rollover Equity and Data Risk: What Sellers Need to Know
Rollover equity has risen from 14% to nearly 17% of TEV. When sellers keep skin in the game post-close, data quality matters beyond the close date.
The 90-Day Data Governance Plan That Protects Your EBITDA
In a PE-backed company, data governance is EBITDA protection disguised as policy. The four-layer framework, the five controls buyers check in diligence, and a 90-day plan to put it in place.
The CFO's Guide to Data-Driven Exit Preparation
Five things every CFO at a PE-backed company should have locked down six months before exit. Revenue reconciliation, flash reports, retention metrics, and more.
How to Build a Business Case for Data Quality in Your Portfolio
A practical framework for operating partners to justify data quality investments to investment committees. Three value drivers, one-page template, and the cost-of-inaction math.
Why Your Portfolio Company's AI Initiative Is Stalling
Most PE portfolio company AI initiatives stall not because of the technology, but because of the data underneath. Five root causes and what to do about each one.
Data Integration After an Add-On Acquisition
A 90-day framework for integrating data after an add-on acquisition. Covers customer master deduplication, chart of accounts harmonization, KPI alignment, and reporting consolidation.
The 5 Reasons Some PE Companies Sell in 60 Days and Others Sit
PE deal volume fell to a 2017 low last year. A-assets still close fast at premium multiples. Five characteristics that separate the companies that sell from the ones that stall in diligence.
Reverse Due Diligence: Audit Your Own Data Before Buyers Do
Five areas to self-audit before a buyer gets into your data room. A practical framework for running reverse due diligence on your own data, with specific questions and 2-week fixes.
What Operating Partners Get Wrong About Data Governance
65% of PE firms struggle to reflect value creation in exit EBITDA. Three governance mistakes explain most of the gap, and all three are fixable.
Why 80% of PE AI Initiatives Fail and What the Other 20% Do
80% of PE firms deployed AI by 2025. Only 20% got operational value. The five-prerequisite data framework for portfolio companies that actually produces measurable AI returns.
The One-Page Data Value Creation Plan for Portfolio Companies
Most value creation plans have a vague line for data. Here is a concrete one-page framework that turns the data component into a real operating plan.
Why Record Multiples Make Data Your Edge, Not Your Debt
EBITDA multiples hit 11.8x. Financial engineering alone cannot deliver returns at these prices. Data is the operational lever that separates winners from the rest.
Post-Acquisition Data Playbook: The First 100 Days
What to do with data in the first 100 days after acquiring a company. A phased playbook for operating partners and portfolio company leaders.
Data Diligence Prep: DIY vs. Bringing in Help
When to handle data diligence preparation yourself and when to bring in outside help. An honest comparison of cost, timeline, and outcomes.
Why Your QoE Report Will Expose Data Problems Before the Buyer Does
QoE reports expose data infrastructure failures most teams never see coming. Why the numbers break, what triggers earnings adjustments, and how to fix the root causes before diligence instead of during it.
How Long Does It Take to Fix Data Before Diligence? A Realistic Timeline
Realistic timelines for fixing data before diligence. The 12-month ideal, 6-month sprint, and 3-month emergency paths with specific deliverables at each phase.
How Data Problems Cost One Company Half a Turn on Their Multiple
An anonymized case study showing how data issues led to QoE adjustments, buyer repricing, and a $20M valuation haircut on a mid-market PE exit.
PE Exit Readiness: The Data Checklist Most Teams Miss
The data readiness checklist PE-backed teams miss before an exit. Covers financial, operational, and customer data with timelines and real benchmarks.
The 48-Hour Test: Can Your Team Answer These Questions Before Diligence?
Ten questions your team should answer in 48 hours or less. A practical readiness test for PE-backed companies approaching an exit.
7 Data Red Flags That Kill Deals in Diligence
Seven specific data problems that make buyers walk away or reprice. What each red flag signals, why it matters, and how to fix it before diligence starts.
The Complete Data Diligence Guide: What Buyers Actually Test
What buyers actually look for in data diligence. 15 questions, what good answers look like, common red flags, and how to prepare before the clock starts.