The short answer
Data and BI consulting for private equity and holding companies connects the financial and operational data from each portfolio company into one reporting layer, even when every company runs different systems. The result is consistent KPIs, consolidated views, and monthly reporting packs that refresh automatically, so the deal team and boards see current, comparable numbers.
Why portfolio reporting is so hard
Every acquisition adds another set of systems, charts of accounts, and definitions.
- Monthly packs built by hand. Finance teams spend days assembling reports from each company’s exports.
- KPIs defined differently everywhere. Gross margin and EBITDA adjustments vary by company, so comparisons mislead.
- Lagging visibility. The board sees results weeks after month end, when the window to act has passed.
- Data requests that never end. Every new question means another round of emails to portfolio CFOs.
32,000
Unsold companies worth $3.8 trillion held in private equity portfolios as of mid-2025, according to Bain and Company. Bain & Company, Global Private Equity Report 2026
With that much value waiting for an exit, clear, consistent reporting on each company’s performance matters both for managing the hold and for telling the story to buyers.
Private equity data consulting: what the work looks like
Private equity data consulting covers the full path from each portfolio company’s systems to the numbers the deal team and boards use.
Consolidated portfolio dashboard
Revenue, margin, EBITDA, and cash by company and in total, refreshed automatically.
Standard KPI definitions
One set of definitions mapped from each company’s chart of accounts.
Automated monthly packs
Board and lender reporting assembled from live data instead of spreadsheets.
Operational KPIs
Non-financial drivers like backlog, utilization, or churn tracked alongside financials.
Most firms start with board reporting. We walk through how to do it across dozens of companies in how to standardize board package data across a portfolio. For deal teams tracking many transactions at once, see what an M&A pipeline dashboard should show.
Consolidate systems or connect them?
Reporting does not have to wait for a single ERP.
| Approach | When it fits | Time to value |
|---|---|---|
| Connect existing systems | Companies on different ERPs | Weeks to months |
| Standardize charts of accounts | Comparisons are misleading | Months, done in stages |
| Consolidate onto one ERP | Integration is a long-term goal | Many months to years |
What to look for in a data and BI partner for portfolio companies
The right partner for PE-backed portfolio reporting is less about a specific dashboard tool and more about how they handle multi-ERP data and a steady stream of add-on acquisitions.
| Look for | Why it matters |
|---|---|
| A plan for connecting different ERPs | Buy-and-build portfolios rarely share one system |
| A clear approach to chart of accounts mapping and KPI definitions | Comparable numbers depend on this more than on the dashboard |
| Monthly reconciliation to each company’s financials | Without it, portfolio CFOs keep their own spreadsheets |
| A repeatable add-on onboarding process | Each acquisition should join reporting in weeks, not quarters |
| Operational KPIs, not just financials | Value creation shows up in drivers before it hits EBITDA |
| A handoff your team can maintain | You should own the definitions and be able to run the reporting |
For a step-by-step walkthrough, read how to report across portfolio companies on different ERPs.
Want portfolio reporting that does not depend on five spreadsheets? Book a working session.
How an engagement starts
We start by agreeing on the handful of KPIs the deal team and boards actually use, and how each should be calculated across companies.
Then we connect one or two portfolio companies first, prove the model, and roll it out to the rest. Read why your companies still run on five versions of the same spreadsheet, and see how this pairs with business performance for private equity and custom software and integration for private equity. More on our approach to holding companies is on the private equity and holding companies page.
Frequently asked questions
Can you consolidate reporting when portfolio companies use different ERPs?
Yes. Data from each company’s system is extracted and mapped to a shared set of definitions, then combined into one reporting layer. This approach delivers consolidated reporting in weeks or months, without forcing every company onto the same ERP first.
What should a private equity firm look for in a BI consultant for portfolio companies?
Look for a partner that can connect different ERPs, map charts of accounts to shared KPI definitions, reconcile monthly to each company’s financials and onboard new add-ons quickly. The dashboard tool matters less than how the data is defined and maintained, and your team should be able to own it afterward.
What does private equity data consulting include?
It usually includes connecting each portfolio company’s ERP and operating systems, mapping accounts to shared KPI definitions, building consolidated dashboards, automating board and lender packs, and setting up a repeatable process for onboarding new acquisitions. The goal is current, comparable numbers without manual spreadsheet work.
What KPIs should a holding company track across its portfolio?
Most track revenue, gross margin, EBITDA, cash conversion, and working capital, plus a few operational drivers specific to each business. The key is defining each metric the same way for every company, so comparisons and roll-ups are meaningful.
How long does it take to automate monthly portfolio reporting?
Connecting the first one or two companies and automating their reporting often takes a few weeks to a couple of months, depending on data access and quality. Adding more companies goes faster once definitions and the reporting model are in place.
Do portfolio company CFOs need to change their processes?
Some changes help, such as consistent account mapping and timely month-end close, but the goal is to minimize their extra work. Automated extraction replaces most manual data requests, which usually saves portfolio finance teams time rather than adding to it.
Is this useful at exit?
Yes. Clean, consistent historical reporting makes it easier to present performance to buyers and support diligence. Being able to show trends by company and KPI, with numbers that trace back to source systems, builds confidence in the value creation story.
