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Food Services and Restaurants Enterprise Data Model: AI-Ready Edition

The data restaurant and food service companies run on, ready for AI: 14 subject areas, 116 entities and 811 key attributes with sensitivity and AI use

What this data model is for

A business data model names the data one function runs on: its subject areas, entities, key attributes and relationships, in business terms rather than database tables. Each entity and key attribute is classified for sensitivity, and each entity names its AI uses, its data-quality requirements and the agents that read it.

Data architects and governance teams use it to agree definitions before building systems or AI agents, to see which data each agent reads and how sensitive it is, and to set data-quality requirements.

About This Data Model

Food Services and Restaurants Enterprise Data Model: AI-Ready Edition describes the information restaurant and food service companies run on, so CIOs, architects and transformation leads know what an AI agent would read before it is built: 14 subject areas, 116 entities, 811 key attributes and 356 relationships. 93 of the entities hold the work every store and restaurant shares, and 23 belong to restaurant and food service companies alone. Each entity and key attribute carries a sensitivity class, the AI uses it supports and the data-quality requirements an agent depends on. The model also forms part of Retail and Restaurants Business Architecture Toolkit: AI Transformation Blueprint.

Files and Contents

  • Business Data Model (Word): every subject area and entity, written out in full
  • Workbook (Excel): subject areas, entities, attributes and relationships, in sheets to filter and extend
  • Per entity: a definition, the usual system of record, its sensitivity class, AI uses and data-quality requirements, and the capabilities and agents that use it, by name and ID
  • 811 key attributes marked for sensitivity and AI relevance, and 356 relationships with their cardinality
  • Guide (Word): the scales the model uses, the data foundation and the license
  • New versions free for 180 days, and corrections free

Your organization's name and your license ID appear in each file.

Subject Areas and Their Entities

The 116 entities sit in 14 subject areas.

Shared by every location

  • Location Network and Development, with 9 entities
  • Location Operations and Labor, with 6 entities
  • Sales Transactions and Cash, with 9 entities
  • Item Range and Prices, with 7 entities
  • Promotions, Markdowns and Coupons, with 6 entities
  • Location Inventory and Replenishment, with 9 entities
  • Online Orders and Fulfillment, with 11 entities
  • Returns, Reviews and Service Recovery, with 5 entities
  • Loyalty and Stored Value, with 8 entities
  • Franchise, with 8 entities
  • Food and Product Safety at Locations, with 8 entities
  • Audits, Shrink and Loss Prevention, with 7 entities

Specific to restaurant and food service companies

  • Menu and Recipes, with 11 entities
  • Kitchen, Dining and Catering, with 12 entities

Who Works With It

Data architects, data owners and stewards, and the AI and analytics engineers who decide what an agent may read, how sensitive it is and how good it must be first; and enterprise architects who connect capabilities to data.

Related Products

The capabilities listed under each entity are defined in the Retail and Restaurants Business Capability Model: AI-Ready Edition. The agents are specified in Retail and Restaurants Business Architecture Toolkit: AI Transformation Blueprint, which includes this model and adds the value streams, use cases, controls, operating model and roadmap. The Food Services and Restaurants Value Stream Maps are also sold separately.

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