Finance and private equity

Private Equity Portfolio Analytics

Turn a mid-market portfolio value-creation plan into trusted operating data: comparable performance, acquisition integration, and repeatable reporting. Assess the gap, implement the first useful change, and preserve a clear path for fund finance.

Start with the operating priority

Assess the gap. Build the next useful improvement.

Choose the company decision or reporting responsibility that needs better evidence.

Inspect the method

Examples and implementation resources.

Explore the public methods, synthetic evidence, and related delivery work before discussing your environment.

Operating context

Operating partners and portfolio CFOs need to see what changed, which company or location drove it, and what deserves action. The work begins with a specific performance or reporting gap, then connects its sources, definitions, and review owners. Fund finance has a related requirement: a defensible record of capital movements, valuations, and investor reporting. Each workflow retains its own reporting basis and approval responsibilities.

Data in the work

Common information domains

Common constraints

Where the analytical system breaks down

The operating plan lacks a reliable baseline

Margin, cash, or productivity initiatives depend on numbers the company cannot reproduce. Establish source coverage and definitions before treating a scenario estimate as an observed improvement.

The same KPI means different things

Account codes, adjustments, calendars, currencies, and consolidation rules change the meaning of a portfolio total. Agree a shared minimum contract without erasing legitimate differences between companies.

Acquisitions change the comparison

Added entities or locations appear as ordinary growth. Retain the reporting perimeter and separate acquired contribution, existing-company change, and other approved bridge components.

Reporting depends on reconstruction

Teams copy, reconcile, and reformat recurring packs while definitions and review decisions live elsewhere. The useful repair includes preparation, exception ownership, and approved release.

Fund outputs lose their reporting basis

Capital movements, NAV snapshots, methodology, or versions are not retained with the published calculation. A fund-finance reviewer needs the scope and supporting record as well as the result.

Where we help

Data and analytics work in this setting

Value-creation priorities grounded in data

Trace the operating decision to a verified baseline and available sources. Define the first implementation, its dependencies, the people responsible for review, and the evidence that will show it works.

Portfolio performance analytics

Connect revenue, margin, working capital, budget variance, and relevant operating drivers. Support a portfolio-to-company investigation while keeping business-specific context and reported versus adjusted measures visible.

Acquisition data integration

Map new entities, account codes, calendars, and source systems. Preserve effective dates and separate acquired contribution from comparable operating performance before using the consolidated trend to guide decisions.

Repeatable operating reporting

Standardize a minimum KPI contract across small and mid-market companies. Automate collection, validation, preparation, and release while retaining finance review and visible reconciliation exceptions.

Fund finance and investor reporting

Map approved administrator and accounting extracts, reconcile capital movements and valuations, and assemble quarterly packs. Preserve the fund or investor grain, reporting methodology, source version, and approval record.

Fund reporting controls and corrections

Tie performance measures to their eligible inputs, keep unsupported template fields visible, and retain an approved snapshot. A corrected transaction or valuation follows a documented review and release process.

Assessment through implementation

Start with evidence. Release with ownership.

Assess one material gap

Begin with the existing Data and Analytics Diagnostic. Review a non-sensitive sample pack or workflow, the operating decision, source readiness, and ownership. Choose a bounded company, reporting cycle, or acquisition.

Define an implementation the team can accept

Produce a source-to-measure map, prioritized findings, and a first-project brief. Specify calculations, review responsibilities, data access, release evidence, and what must be resolved before work expands.

Build and reconcile the first change

Implement the selected integration, performance model, or reporting repair. Keep the existing approved process available while comparing outputs, investigating differences, and testing failure and correction paths.

Extend a proven pattern

Release with documentation and accountable ownership. Reuse the accepted approach for another company or workflow after checking its source behavior and definitions. Add software and AI implementation when the operating problem calls for it.

Relevant services

Capabilities shaped for this work

Applicable engagements

Clear starting points in this environment

Use the existing diagnostic to define the work, or a focused reporting repair when the problem and source boundary are already clear.

Representative work

Portfolio reporting automation: finance systems experience

Anonymized finance and portfolio reporting work connecting source records, calculation logic, diligence context, and recurring review.

Related research and field notes

Methods, decisions, and operating detail

PE operating analytics · 3 minute read

Standardizing portfolio-company KPIs across accounting systems

Define comparable revenue, EBITDA, and working capital across portfolio companies, with account mappings, weighted calculations, and a reusable KPI contract.Read insight

PE operating analytics · 3 minute read

Keeping portfolio reporting comparable after acquisitions

Separate acquired contribution from comparable growth, preserve effective-dated account mappings, and onboard a new portfolio company without rewriting history.Read insight

PE operating analytics · 3 minute read

Building a private equity portfolio dashboard in Power BI

Design a portfolio-company Power BI model with weighted margins, period snapshots, source coverage, exceptions, and access tests before styling the dashboard.Read insight

PE operating analytics · 3 minute read

Automating monthly portfolio reporting with reconciliation and approvals

Turn recurring portfolio-company submissions into a controlled monthly reporting cycle, with a worked reconciliation example and practical release checklist.Read insight

Private capital reporting · 3 minute read

Designing a quarterly private equity investor reporting workflow

A practical preparation-to-approval workflow for quarterly investor reporting, with source cutoffs, NAV reconciliation, version history, and release controls.Read insight

Private capital reporting · 3 minute read

Reconciling contributions, distributions, NAV, and performance multiples

Trace DPI, RVPI, and TVPI to their inputs, reconcile a quarterly NAV bridge, and handle undefined denominators using a transparent synthetic example.Read insight

Private capital reporting · 3 minute read

Preparing source data and controls for ILPA reporting templates

Map the applicable ILPA template to source fields, definitions, validation, and owners before automating reporting. Includes an original readiness worksheet.Read insight

Private capital reporting · 3 minute read

Private capital reporting software or custom analytics: how to choose

Compare packaged reporting, a custom analytics layer, and a hybrid approach using a representative reporting pack and a practical acceptance matrix.Read insight

Questions

Before the first engagement

Do you work with the sponsor or the portfolio company?

Either can sponsor the work. A useful engagement has both a decision owner and an accountable source or reporting owner at the company. Agree who approves scope, access, definitions, and release before implementation begins.

Where should a mid-market portfolio start?

Choose one recurring problem with a clear owner: an unreliable board pack, an incoming acquisition, a performance variance, or a reporting bottleneck. Assess that boundary, establish its baseline, and define the first implementation before rolling a pattern across the portfolio.

Can you work alongside our finance and data teams?

Yes. The work can be a defined implementation, a focused repair, or scoped embedded expertise. Existing team responsibilities, approval authority, documentation, and handoff remain explicit.

How are company operating analytics and fund reporting connected?

They can share source and control disciplines, but their measures and responsibilities differ. Operating analytics supports company performance review. Fund reporting preserves approved capital activity, valuations, performance methodology, and investor reporting. Each has a dedicated service and evidence pack.

What if the next improvement requires software or AI?

Permadyn Analytics defines and builds the data, models, and reporting foundation. Related software, workflow automation, and AI implementation are available through Permadyn AI, starting with a bounded task, source permissions, and a reviewable baseline.

Related software and AI work

Extend the operating system around the numbers.

When the next step is a workflow, application, or integration, Permadyn AI can assess and build the software around the reporting foundation.

Explore private equity software and AI

Discuss a portfolio operating priority

Describe the company or reporting cycle, the decision it supports, and where the evidence breaks down. Start with an assessment that defines the first useful implementation.

Discuss a portfolio operating priority