Practical guides on data diligence, exit readiness, and the data problems that erode valuation.
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 GuideOperating 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.
Pillar GuideIn 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 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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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 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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
What to do with data in the first 100 days after acquiring a company. A phased playbook for operating partners and portfolio company leaders.
When to handle data diligence preparation yourself and when to bring in outside help. An honest comparison of cost, timeline, and outcomes.
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.
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.
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.
The data readiness checklist PE-backed teams miss before an exit. Covers financial, operational, and customer data with timelines and real benchmarks.
Ten questions your team should answer in 48 hours or less. A practical readiness test for PE-backed companies approaching an exit.
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.
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.