Private Equity Business Data Model | Capstera

The Private Equity Business Data Model is a business-friendly data dictionary for a typical private equity firm, organized into Foundational, Transactional, and Informational categories and delivered as a Word document. It gives business and data architects working with PE firms a starting list of subject areas and data entities instead of building one from scratch.

This is a business data dictionary, not a full technical data model — there's no relationship mapping or attribute-level detail. What you get is a structured list: subject areas relevant to private equity, such as deal sourcing, portfolio companies, and fund administration, each broken into specific data entities with a short description.

Foundational entities are the fixed points a firm can't do without — funds, portfolio companies, investors. Transactional entities capture what happens day to day: capital calls, distributions, deal activity. Informational entities sit on top, turning that transactional detail into the reporting a fund uses for LP communications and portfolio monitoring.

A business data model like this one complements capability maps and value streams as part of the broader business architecture toolkit. Lining the data entities up against a firm's capabilities and deal or fund-administration value streams shows where the data needed to run the business is well defined and where it still lives only in spreadsheets and institutional memory.

Every PE firm structures its funds and portfolio operations a little differently, so this deliverable is meant as a baseline you edit to match your firm's own terminology and structure, not a finished glossary.

What's Inside

• Subject areas and data entities specific to private equity, organized into Foundational, Transactional, and Informational categories
• A short description for each data entity
• Delivered as a single Word document

How Teams Use It

A data architect setting up a data governance program for a PE firm starts with the foundational entities — fund, portfolio company, investor — as the initial data glossary instead of drafting one from meeting notes.

A business architect building a capability map for the firm's investment operations cross-checks each capability against the data entities to confirm the data needed to run it has actually been named somewhere.

An analyst preparing for a new portfolio-monitoring tool uses the transactional and informational entities to scope what data the tool needs to ingest and report on.

A consultant advising a PE firm on a systems consolidation project uses the entity list as a common vocabulary across finance, deal teams, and IT during requirements discussions.

An investor relations lead preparing quarterly LP reporting checks the informational entities to confirm the reporting terms used in the deck match what the fund's systems actually capture, rather than reconciling definitions after the fact.

A firm evaluating a new fund administration platform hands the vendor the foundational and transactional entities as the data scope for the contract, instead of leaving the scope of what data moves over undefined until implementation starts.

Format & Delivery

The data model is delivered as a single editable Word document, available for download immediately after purchase. It's a generic starting model rather than a finished fit for any one firm's fund structure, sold as-is with no implementation or customization work included. An enterprise license for firm-wide use is available, priced separately on this page.