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Public pension funds are required to disclose the fees they pay across private equity, private credit, private real estate, infrastructure, and hedge fund commitments. That disclosure requirement exists for accountability reasons: taxpayers and beneficiaries deserve to know what's being paid. But the byproduct of that transparency rule is something most of the industry hasn't fully capitalized on: a massive, continuously growing dataset of real-world fee terms across thousands of funds and strategies.
Turning that scattered disclosure data into a structured, searchable database changes what's possible for investment firms, allocators, consultants, and placement agents alike. Here are ten of the biggest benefits.
Top 10 Benefits of a Public Pension Fund Fee Schedule Database
1. Real Market Benchmarks, Not Guesswork
Instead of relying on anecdotes or a handful of comparable funds someone happens to remember, a fee schedule database lets a firm see actual terms across hundreds of similar strategies, by asset class, sub-asset class, fund size, and vintage. That's the difference between "I think 2-and-20 is still standard" and knowing precisely where the market has moved.
2. Faster Fundraising Preparation
Fund managers preparing to go to market need to know where to price a new fund competitively. A searchable database turns what used to be weeks of manually pulling numbers from decks and filings into a task that takes minutes.
3. Stronger Negotiating Position for Allocators
Allocators negotiating fee terms with an investment firm are in a much stronger position when they can point to a broad set of comparable fee structures instead of negotiating in the dark. A database levels the information asymmetry that has traditionally favored fund managers.
4. Sharper Competitive Intelligence for Investment Firms
Investment firms can see exactly how their own fee structure stacks up against direct competitors raising similar strategies at similar sizes, not just their guess at what peers charge, but the actual disclosed numbers.
5. Trend Detection Across Time
A database that's continuously updated doesn't just show a snapshot: it shows direction. Are management fees compressing in private credit? Is carry structure shifting in infrastructure? Trends that are invisible in a single deck become obvious across thousands of data points tracked over time.
Already piecing fee comparisons together by hand? Dakota Marketplace's fee schedule database covers 13,000+ funds across private equity, private credit, private real estate, infrastructure, and hedge funds, filterable by asset class, fund size, and vintage year. Book a demo to see live benchmarks before your next raise.
6. Customizable Views for Different Use Cases
Not every user needs the same fields. A fundraising team may care most about management fee and carry by fund size; a consultant may care about hurdle rates and manager commitment. A well-built database lets each user filter down to exactly the fields relevant to their question, rather than working from a fixed, one-size-fits-all report.
7. Consistency Across Asset Classes
Private equity, private credit, private real estate, infrastructure, and hedge funds each have their own fee conventions. A unified database that organizes by asset class and sub-asset class makes it possible to compare within a strategy accurately, instead of mixing apples and oranges.
8. Reduced Manual Research Burden
Before a structured database exists, building a fee market map means pulling numbers out of individual pension disclosures and fund decks one at a time: slow, error-prone, and out of date almost as soon as it's finished. Aggregating and structuring that data removes that burden entirely.
9. A Differentiated Data Layer That's Hard to Replicate
Extracting fee terms from unstructured disclosures at scale, and keeping that extraction current, is genuinely difficult curation work. That difficulty is exactly what makes a well-maintained fee schedule database valuable; it isn't something a competitor can stand up overnight just because the underlying filings are public.
10. Better-Informed Decisions, Faster
Every benefit above points to the same outcome: decisions that used to take weeks of manual digging (pricing a new fund, evaluating a manager's terms, benchmarking a portfolio's fee load) can now be made with confidence in minutes, using real, current market data instead of dated assumptions.
The Bigger Picture
Public pension transparency requirements were never designed to create a competitive dataset; that's simply what happens when thousands of funds' fee terms become public record over time. The firms that benefit most won't be the ones with access to the disclosures: everyone technically has that. They'll be the ones with access to Dakota Marketplace's fee schedule database, already structured, comparable, and instantly usable across asset class and sub-asset class.
See fee schedule data over 13,000 funds inside Dakota Marketplace, filterable by asset class, sub-asset class, fund size, and vintage year. Whether you're pricing a new fund, negotiating terms, or benchmarking a portfolio's fee load, the data is already aggregated.
Book a demo to see Dakota's fee schedule database in action.
