Hedge Funds Business Data Model: AI-Ready Edition | Capstera

The Hedge Funds Business Data Model: AI-Ready Edition is for business and enterprise architects who need to know what information hedge funds work runs on before an AI agent touches it. It covers 18 subject areas, 111 entities, 715 key attributes and 357 relationships. Every entity and key attribute is classified for sensitivity, with the AI uses and data-quality requirements an agent depends on. It holds the 101 entities every investment and wealth management firm shares and the 10 specific to hedge funds, from Business Architecture for Investment and Wealth Management: AI Transformation Blueprint.

What's Inside

The same model comes in three files: the full model in Word, a workbook to filter and extend, and a guide to the scales and the license.

• 18 subject areas and 111 entities, each with a definition, its typical system of record, sensitivity class, AI uses and data-quality requirements
• 715 key attributes with sensitivity and AI relevance, and 357 relationships with cardinality
• Under each entity, the capabilities that need it and the agents that read it, by name and ID
• The Business Data Model (Word): every subject area and entity in full
• The workbook (Excel): subject areas, entities, attributes and relationships in sheets you can filter and extend
• The guide (Word): the scales the model refers to, the data foundation, and the license
• Free corrections, and new versions free for 180 days

Every file names your organization and carries your license ID.

The 18 Subject Areas

The 111 entities are grouped into 18 subject areas. The list gives what each holds and how many entities it has.

• Funds, Products and Strategies (7 entities): The funds, strategies and account programs the organization offers, their share classes, fees and the decisions taken about them.
• Fund Documents and Agreements (5 entities): The offering documents, management agreements and side letters that set what the organization has promised each client and investor.
• Clients, Investors and Accounts (6 entities): Who invests with the organization, the accounts they hold, their eligibility, tax status and instructions.
• Distribution and Prospects (6 entities): The prospective investors the organization pursues, the partners that distribute its products and the material used to sell them.
• Dealing and Account Servicing (5 entities): The instructions clients and investors give to buy, sell, transfer and move money, and the exceptions they raise.
• Client Reporting (4 entities): What the organization reports to each client and investor, and the requests they make.
• Research and Allocation (6 entities): The research behind investment decisions, the long-term assumptions and allocations, and the model portfolios accounts follow.
• Portfolios and Holdings (6 entities): Each portfolio the organization manages and what it holds.
• External Managers and Stewardship (4 entities): The outside managers the organization uses, and its voting and engagement with the companies it holds.
• Investment Guidelines (4 entities): The restrictions each portfolio must keep, as written and as coded, and every check and breach against them.
• Orders and Trades (7 entities): Orders generated from investment decisions, how they were executed and allocated, and the brokers that executed them.
• Settlement, Custody and Reconciliation (5 entities): How trades settle, where assets are held, and the breaks found when records disagree.
• Corporate Actions, Income and Collateral (8 entities): Corporate actions and income on the securities held, and the collateral, margin, derivatives and securities loans the portfolios use.
• Investment Data (5 entities): The descriptive data and prices every investment system depends on.
• Accounting, Valuation and Net Asset Value (8 entities): The books of the funds and accounts the organization manages, the values placed on their holdings and the net asset values released.
• Fees and Billing (3 entities): The fees calculated on each fund and account and the invoices and adjustments that follow.
• Risk, Performance and Oversight (12 entities): The measures of investment risk and performance, surveillance and restricted lists, oversight of outside providers, quantitative models and regulatory filings.
• Hedge Fund Financing, Liquidity Terms and Strategies (10 entities): Prime brokers and financing, short locates, fund series and redemption restrictions, high-water marks, feeder allocations and systematic strategies.

Who Uses It

Data owners and stewards, data architects, and AI and analytics engineers who need to know what an agent may read, how sensitive it is and how good it must be first; and business architects who link capabilities to data.

How It Fits With the Other Products

The capabilities named under each entity are defined in the Investment and Wealth Management Capability Model: AI-Ready Edition. The agents are specified in Business Architecture for Investment and Wealth Management: AI Transformation Blueprint, which contains this data model and adds the value streams, use cases, controls, an operating model and a roadmap. The Hedge Funds Value Streams are sold on their own too.