Use retail industry data model
Important
This content is archived and is not being updated. For the latest documentation, go to What's new in Microsoft Cloud for Retail. For the latest release plans, go to Dynamics 365, Power Platform, and Cloud for Industry release plans.
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
Jan 1, 2024 |
Jun 2024 |
Business value
The retail industry data model offers substantial business value by addressing common challenges faced by retailers in managing and extracting insights from the vast amount of data generated throughout the retail lifecycle. By providing a structured framework for efficient data organization, the model overcomes issues such as data fragmentation, time-consuming retrieval, and inconsistencies, leading to enhanced decision-making processes. Its adaptability to changing business needs, along with features like guided user experiences and customization options, ensures retailers can tailor the model to meet specific requirements. This results in improved operational efficiency, effective business intelligence and analytics, contributing to data-driven strategic planning and business success.
Feature details
The retail industry data model is a blueprint that is used by retailers to plan, architect, and design data solutions for data governance, reporting, business intelligence, and advance analytics. This capability allows retailers to use the full or subset of the data model to meet their specific needs. Some of the key advantages of this model are:
Enables retailers to use a subset or full industry data model for retail to meet their specific needs.
Organizes different types of data generated within the retail eco system in a structured framework.
Defines relationship and rules governing the data leading to data consistency and accuracy, which helps in making key decisions.
Drives data simplification strategy across the organization by simplifying cross application integration and workflows.
Provides effective analytics and business intelligence, which leads to creation of meaningful reports, insights, and visualizations
Adapts easily to adapt to changing business needs and adjusting the data model to accommodate new data sources, changing business processes, and adopting new technologies.
The retail data model is essential for creating a coherent and efficient system for managing and using data in the retail sector. It ensures accuracy and consistency of data but also supports the strategic use of this information for informed decision-making and business success.
Features of retail industry data model:
Configure full or few entities from the retail database template through guided user experience.
Transform and store the data in the retail database template and view the data through the Microsoft Fabric interface.
Extend the standard entities that are deployed through the deployment experience to meet customer-specific needs.
Add/remove entities post install based upon the business need.