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Reference build / Illustrative solution architecture
Retail Intelligence Reference Architecture
An illustrative flow from permitted retail observations to business reporting, with product matching, freshness checks, and source evidence.
Retail intelligence reference architecture
Illustrative flow from permitted sources to a reviewable business report. No client data or operational metrics.
01
Agreed sources
- Permitted retail sources
- Defined product catalogue
- Relevant pricing and availability
- Source-specific observation schedules
02
Data collection
- Source permissions reviewed
- Agreed access boundaries
- Rate limits and recovery
- Timestamped observations
03
Data preparation
- Retain the original observation
- Normalize products and values
- Apply quality checks
- Preserve essential history
04
Business signals
- Compare observed prices
- Identify availability changes
- Keep uncertain matches visible
- Route exceptions for human review
05
Useful reporting
- A clear market view
- Source evidence beside signals
- Defined freshness indicators
- Documented interpretation limits
06
Trust and controls
- Least-privilege access
- Agreed retention policy
- Hosting requirements agreed
- Traceable transformations
- Tested recovery procedures
Official resources used
GuildBuild adaptation
An illustrative design for discussing a retail data workflow. It is not a client case study, live service feed, or statement of production scale.
What Microsoft provides
- Azure infrastructure and data platform services.
- Data Factory integration and orchestration tools.
- Power BI reporting and Azure Key Vault secrets management.
What GuildBuild adds
- Business question and source-scope definition.
- Product matching, source provenance, and freshness rules.
- Quality checks and human review of uncertain observations.
- A maintainable reporting and operating workflow.
Buyer evaluation checklist
- Which business decision should the observations support?
- Which sources can we access and use for this purpose?
- How will our team review uncertain matches and missing observations?
Implementation deliverables
- Illustrative architecture and data flow
- Quality and freshness checklist
- Reporting and operating considerations
Technologies shown
AzureMicrosoft FabricPower BIData integration
Related GuildBuild service: Explore retail intelligence