Case Study · Private Equity & Finance

FP&A & Data Transformation for a PE Portfolio Company

Private Equity · CFO Office · FP&A · Forecasting · Value Creation

The challenge

Scaling FP&A across acquisitions.

Data standardization across acquisitions

Consolidating multiple acquisitions left inconsistent data that was hard to reconcile and plan against.

Ad-hoc planning cycles

Frequent mid-cycle changes made budgeting and forecasting difficult to administer and trust.

Low investor visibility

Limited, slow investor reporting and weak line-of-sight to the levers of value creation.

Manual, error-prone close

Quote-to-cash and billing gaps drove high AR and slow financial reporting.

What we built

A data-driven FP&A engine.

FP&A capability build

A data-driven FP&A function with investor reporting, lender-covenant dashboards and a clear value-creation line of sight.

Forecasting & scenario models

Data cubes, what-if and root-cause analytics in Python, Tableau and Power BI for reliable forecasts.

Quote-to-cash integration

Linked the right triggers and processes across Salesforce and NetSuite, with canonical financial data models and consolidations.

CFO-office reporting

Revenue, bookings & growth, unit-cost economics, pricing/discounts and OKRs in one governed layer.

Results

Quantified outcomes.

<5 yrs

Acquisition to exit — with multiple QoEs, fund-raises and roll-ups.

Higher

Investor trust & visibility — timely reports and update decks.

↑ Accuracy

Forecasting — scenario-based planning with lenders.

↓ AR

Faster close — streamlined billing, collections and delinquency prioritization.

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