SQL-backed Reporting Foundation
SQL artefact showing source tables, joins, checks and a report-ready output before a report is built.
Demonstration work only. Built with synthetic data. Not a client database and no protected data is used.
- Environment
- SQL
- Preview shown
- Executed SQL output report
- Demo status
- Built artefact
- Artefact source
- demos/sql-backed-reporting-foundation/
What this example shows
Who the artefact is for and what review question it is designed to answer.
Audience
Current setup
Source files or exports are joined manually, with limited visibility of unmatched records, duplicate keys, missing fields or refresh checks.
Review question
Which source tables, joins and checks are needed before the output can be used?
What a client could receive
An executed SQL foundation showing source tables, staging logic, join checks, quality review points and a report output view.
How this could be used
A real build would be agreed around your data, users, refresh needs and review questions.
Pages, filters and measures would be shaped around the data sources, refresh rhythm and audience for the final output.
The first review would agree which figures need checking, which questions the output must answer and what maintenance notes are needed.
The finished artefact can stay focused for leadership review or expand into a multi-page model where that is useful.
Questions it helps answer
Practical questions this pattern could help a team discuss.
Source table
Mapped
Shows which source table or export each field comes from
Join key
Checked
Identifies the keys that need matching, duplicate and unmatched-record review
Exception flag
Defined
Highlights records or joins that need review before publication
Data and delivery notes
The example shows the artefact without exposing real business data.
What gets reviewed
- Source map
- Staging logic
- Join checks
- Exception flags
- Measure definitions
- Refresh notes
Data sources
Next step
Discuss a source foundation
Quanta Meridian can review the source data, report structure, measures, checking points, documentation and whether Power BI, Excel or process improvement is the right route.