Enterprise Business Data Model: AI-Ready Edition | Capstera

The Enterprise Business Data Model: AI-Ready Edition is for business and enterprise architects who need to know what information enterprise work runs on before an AI agent touches it. It covers 30 subject areas, 398 entities, 2,973 key attributes and 1,805 relationships. Every entity and key attribute is classified for sensitivity, with the AI uses and data-quality requirements an agent depends on. It is the data-model part of Business Architecture for the Enterprise: AI Transformation Blueprint, sold on its own.

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.

• 30 subject areas and 398 entities, each with a definition, its typical system of record, sensitivity class, AI uses and data-quality requirements
• 2,973 key attributes with sensitivity and AI relevance, and 1,805 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 30 Subject Areas

The 398 entities are grouped into 30 subject areas. The list gives what each holds and how many entities it has.

• Party and Contact (7 entities): The people and organizations the enterprise deals with, recorded once with their contact points, relationships, consents and preferences, whatever role they play.
• Organization, Legal Entity and Location (10 entities): The enterprise's own structure: legal entities, organization units, positions and roles, governance bodies, delegated authority, and the sites it occupies and secures.
• Strategy, Performance and Architecture (15 entities): Where the enterprise is going and how it is run: strategies, objectives and targets, roadmaps, performance measures, business architecture, processes and corporate transactions.
• Budget, Portfolio and Program (12 entities): How money and effort are allocated to work: plan versions, budgets, forecasts and spend, investment cases and decisions, the portfolio, projects and the benefits they deliver.
• Corporate Governance, Legal and Ethics (13 entities): Board and governance decisions, enterprise policies and their exceptions, shareholders and investors, legal matters and holds, and conduct, speak-up, investigation and fraud records.
• Risk, Resilience and Insurance (17 entities): Risk appetite, risks and their treatment, indicators and events, third-party risk, critical services and continuity, crises, and the insurance that finances risk.
• Compliance, Control and Audit (19 entities): The requirements the enterprise must meet and how it shows it meets them: obligations, compliance plans and breaches, supervisory authority engagement, controls and tests, issues and actions, and internal audit.
• AI Governance, Models and Agents (18 entities): The record of every AI system, model and agent the enterprise uses or builds, and the evidence that each is assessed, validated, authorized, monitored, explained and overseen by people.
• Contract and Agreement (7 entities): Every binding agreement the enterprise holds with customers, suppliers, partners, landlords and other parties, with its terms, obligations, amendments and reviews.
• Market, Brand and Campaign (15 entities): What marketing knows and produces: markets, competitors and research, audiences, the brand and its content, campaigns, channels, promotions, events, loyalty and advocacy, and attribution.
• Sales Opportunity, Pricing and Quote (8 entities): Pursuing and closing business: leads, opportunities, solution designs and proposals, prices and discounts, quotes and their approval, and bookings handed to fulfillment.
• Sales Coverage, Partner and Performance (10 entities): How sales effort is deployed and rewarded: territories, account assignments, quotas, account plans and renewals, forecasts and sales credit, and the partners who sell with the enterprise.
• Customer, Account and Receivables (11 entities): The customer and what it holds, the accounts it is served and billed under, its interactions, and what it is invoiced, pays, owes and disputes.
• Service Request, Case and Field Service (12 entities): Serving customers and internal users: queues and request types, cases, internal service requests, the service catalog and service levels, knowledge, automated conversations, and work at customer sites.
• Customer Experience, Complaint and Feedback (11 entities): How customers experience the enterprise: journeys and touchpoints, service design, onboarding and success, customer health, complaints and remedies, surveys and feedback, service quality and cost to serve.
• Product and Offering (10 entities): What the enterprise sells and makes: products, offers and value propositions, items and bills of materials, specifications, launch and withdrawal, conformity, in-service issues, recalls and product cost.
• Research, Design and Intellectual Property (17 entities): Creating new offerings: ideas and concepts, technologies scouted, research studies, experiments and data, requirements and designs, prototypes and tests, and the intellectual property that results.
• Planning, Sourcing and Procurement (17 entities): Planning demand and supply and buying what the enterprise needs: forecasts and operations plans, capacity, spend categories and sourcing events, suppliers, purchase orders, receipts, invoices, payments and employee expenses.
• Production and Quality (14 entities): Doing and checking the work that produces what the enterprise sells: routings and standard work, production orders and records, lots, losses and deviations, and the quality system from plans and inspections to nonconformance and release.
• Physical Asset and Maintenance (10 entities): The physical equipment, devices and systems operations depend on: the asset register, financial records, assignment and disposal, maintenance plans and work, condition, failures, calibration and plant control systems.
• Order, Inventory and Logistics (9 entities): Getting goods and orders to customers: sales orders and delivery promises, storage locations and inventory, warehouse tasks, shipments and freight, trade compliance and returns.
• Health, Safety and Environment (12 entities): Keeping people safe and reducing environmental impact at the enterprise's sites: hazards and risk assessments, permits, observations and incidents, exposure, environmental aspects and impacts, emissions, waste and resource use.
• Accounting, Reporting, Treasury and Tax (19 entities): The financial record of the enterprise: ledger structure, journals and balances, revenue, costing and intercompany, financial statements, bank accounts, cash and financial instruments, and taxes.
• Worker, Employment and Talent (18 entities): The people who work for the enterprise: worker records and employment events, workforce plans, recruitment and onboarding, performance and succession, skills, learning and certifications.
• Pay, Time, Rewards and Employee Relations (13 entities): What people are paid and how their time is recorded: compensation and benefits, payroll, schedules, time and absence, and the employee and labor relations records that go with employment.
• Technology Application, Infrastructure and Service (15 entities): The technology the enterprise runs and how it is delivered and operated: applications and interfaces, code and releases, configuration items and environments, monitoring and operations, incidents, problems, changes and licenses.
• Identity, Access and Security Operations (16 entities): Who and what can reach the enterprise's systems and data, and how attacks are found and handled: identities, accounts and credentials, access roles and grants, security events and alerts, threats, vulnerabilities, tests and incidents.
• Data Governance and Privacy (12 entities): How data is owned, classified, accessed, shared, retained and protected, and how personal data is used: domains and stewards, classification, access decisions, processing records, privacy assessments, requests and incidents, de-identification and responsible use.
• Data Management and Analytics (16 entities): Describing, moving, mastering and using data: data assets and metadata, lineage, models, sources and pipelines, data products, quality rules and issues, master and reference data, reports, analyses and experiments.
• Sustainability, Stakeholders and Reputation (15 entities): The enterprise's sustainability record and its relationships with the public: material topics, emissions accounting, reduction, carbon credits, product footprints and disclosures, stakeholders and communities, communications, media and reputation.

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 Enterprise Business Capabilities Map: AI-Ready Edition. The agents are specified in Business Architecture for the Enterprise: AI Transformation Blueprint, which contains this data model and adds the value streams, use cases, controls, an operating model and a roadmap. The Enterprise Value Streams are sold on their own too.