Reporting Foundations

SQL-backed Reporting Foundation

An executed SQLite route that registers recurring files, checks joins and ownership, and separates rows ready for reporting from exceptions before refresh.

Reporting route overviewOpen image

More of the work

A closer look at what sits behind the overview.

This view shows the source records, checks and output used to prepare the overview above.

Executed SQL and validation evidence

This source-backed view shows the retained CSV inputs, executed SQLite output, validation results and handover note behind the overview.

Records behind the view

The checks, outputs and owner actions can be inspected together.

These extracts show the records used to explain the reporting view.

Source ownership and report impact

The source register connects each file to its owner, refresh state, join key and affected reporting output.

SourceOwnerRefresh stateJoin keyAffected output
Operations exportReportingReadyitem_idMonthly performance pack
Reference lookupData ownerReadylookup_codeReporting-ready view
Adjustment logFinanceReadyitem_idMonthly performance pack
Review actionsOperationsReadyrecord_idOwner follow-up list
Downstream packManagementHoldreporting_ready_viewManagement review pack

Executed validation results

The retained SQLite build checks all 12 source rows before the downstream pack can refresh.

CheckResultRowsOwnerReview state
Row-count reconciliationPass12ReportingReady
Missing ownerFail2OperationsOwner action
Unmatched lookupReview2Data ownerReview
Duplicate keyReview2ReportingReview
Invalid periodPass0ReportingReady

Output and handover state

Ready rows, exceptions and the confidence note reconcile to the executed SQL views.

OutputRowsConfidenceUse
reporting_ready_view6ReadyMonthly pack
exceptions_owner_list6ReviewOwner follow-up
source_confidence_note1AmberReview note

From source files to reporting output

Twelve source rows split into ready output and owner exceptions before refresh.

The reporting team can see what loaded, what failed, who owns the issue and whether the management pack should refresh.

Useful forReporting ownersOperations analystsFinance analystsData teams
What is difficult now

Recurring reports become hard to trust when source ownership, join rules and validation failures are separated from the downstream pack they affect.

What needs to be decided

Which source files and rows are ready for the next refresh, which validation failures need attention and which downstream output is affected?

What this page shows

A source register, working SQLite queries, validation results, six rows ready for reporting, six owner exceptions and a handover note.

How the work fits together

The source register, SQL views and validation results can be read together.

Start with the registered files, follow the preparation logic, then compare the ready output with the exceptions passed to owners.

01Source

What the work starts with

  • Five-asset source register with owner, refresh state, join key and affected output
  • Twelve-row monthly operations extract
  • Three-row reference lookup
02Prepare

How it is prepared

  • Executable SQLite staging and reference join
  • Duplicate key and validation state views
  • Ready for reporting and exception views
03Check

Checks applied

  • Twelve rows reconciled
  • Two missing owners and two unmatched lookup codes
  • Two duplicate key rows and no invalid periods
04Output

What the review receives

  • Six rows ready for reporting
  • Six-row owner exception list
  • Source confidence note holding the downstream refresh
05Handover

Notes for the next update

  • Verification script retained
  • Exception owners and affected pack recorded
  • Local SQLite and sample-volume limits stated
Tools used
  • SQLite
  • SQL
  • CSV source files
  • Validation outputs
Skills shown
  • Source registration
  • Join validation
  • Exception routing
  • Reporting handover
Why this matters

The reporting team can see what loaded, what failed, who owns the issue and whether the management pack should refresh.

Built from a non-client example dataset. No protected data is used.

What changes

The joins and checks are documented instead of sitting behind the report.

Start by confirming source ownership, join logic, validation points and the downstream reports that depend on the output.

  1. 01

    Five registered files record their owner, refresh state, join key and affected report.

  2. 02

    The checks separate six ready rows from six rows with missing owners, unmatched lookups or duplicate keys.

  3. 03

    The reporting pack remains on hold until the exception list and confidence note have been reviewed.

Key checks

Which rows are ready, which need an owner and which report is affected.

Source ownership5 mapped

Names the owner, refresh state, join key and affected output for each registered asset.

Rows validated12 checked

Checks for missing owners, unmatched lookups, duplicate keys and invalid periods before refresh.

Owner follow-up6 rows

Separates six exceptions from the six rows that are ready for reporting.

Affected outputPack held

Keeps the downstream pack awaiting refresh until the exception route is reviewed.

Inputs and limits

The source records, SQL work and boundaries of this example.

What is included

  • Source ownership register
  • SQLite staging views
  • Reference join
  • Validation results
  • Owner exception list
  • Affected output
  • Handover note

What it can start from

  • Monthly operations export
  • Reference lookup
  • Adjustment log
  • Review actions
  • Downstream pack register

What this example does not claim

  • The SQL runs locally in SQLite rather than a connected production database.
  • The 12-row monthly file demonstrates control logic, not production scale or performance.
  • Live join rules and refresh decisions would require agreement with source owners.

Related work

More in Foundations.

Reconciliation evidence view showing source A and source B comparison, match key and tolerance rules, exception classes, owner follow-up queue, validation checks and reconciliation output

Executed reconciliation evidence

Reconciliation Exception Mart

What is difficult now
A recurring report cannot be signed off when source extracts disagree and the match key, tolerance rule or exception owner is unclear.
What the work helps decide
Which ledger and operations records disagree, why do they disagree and which owner must resolve them before reconciliation sign-off?
  • SQL
  • Reconciliation
  • Exception reporting
View this example

Next step

Review the route beneath a recurring report.

Start with the files, joins and checks that make the current reporting route difficult to trust or maintain.