Analytics engineering and data solutions
Turning data into direction.
Monthly reports often depend on exports, reference tables and adjustments understood by one analyst. We turn those records into repeatable reporting, show what failed and keep the reviewer's decision connected to the figures.
Invoices, order lines, access listings and monthly files
Typed records, joined references and approved adjustments
Measure definitions, reconciliations and failed rows
Reports, evidence files and management papers
Release, hold, correct, approve or follow up
Solutions
The right work may be a reporting rebuild, a tested data model, a clearer Power BI report, an executable quality check or a controlled workflow. The first step is to understand who reviews the result, which records support it and what decision must follow.
See how an engagement startsRecurring reports depend on manual steps, unclear definitions or knowledge held by one person.
We map the monthly files, adjustments, checks and review meeting, then leave instructions another analyst can follow.
Explore Reporting SystemsReporting logic is spread across files and tools, making figures difficult to reproduce or change safely.
We turn orders, invoice lines and receipts into tested reporting tables whose row meaning and totals are explicit.
Explore Analytics EngineeringA report shows movement, but reviewers cannot see which measure, filter or underlying record explains it.
We define the measures, test the model and help reviewers move from the headline figure to the relevant records.
Explore Power BI SolutionsReports disagree, failed order lines surface late or nobody confirms that a correction is safe to release.
We define the rule, run the check and connect each failure to the affected report, owner and retest.
Explore Data QualityRepeated refresh and follow-up work relies on copied files, reminders and manual status chasing.
We record each request, response, reviewer question and decision while automating reminders and repeatable checks.
Explore AutomationVerified projects
These projects retain the working files, calculations and checks needed to explain a result. Trace a supplier invoice, failed order line, monthly movement or disputed measure through the complete review.
Browse all project collections
Project 01
Separate invoice, purchase order and stock tables can give finance, sales and warehouse teams different totals for the same month.
Executed wholesale mart evidence
Project 02
The monthly service report cannot be released while customer references, product mappings, delivery dates or monthly files fail the agreed checks.
Executed Python validation
Project 03
A multi-site wholesale and service company has many monthly charts, but leadership cannot quickly see which movements need intervention.
Six-page operating review
Project 04
A distributor publishes five on-time delivery percentages because its reports use different formulas, grains, delivery dates, filters and refresh times.
Verified reconciliation workbookCapabilities
Each page starts with a recognisable reporting routine and links the tool to retained project evidence, from invoice-line SQL to an independently retested Python rule.
Insights
Articles explain a real reporting disagreement. Technical Notes show the implementation, and Research Briefs separate the question, method, finding and limitation.
Browse all InsightsResearch Brief
Working principles
Important figures can be traced to the invoice lines, order events, files and fields used.
Measures state their population, calculation, timing, exclusions and owner.
Checks and reconciliations sit beside the report, with failed records retained for review.
Refresh steps, decisions and known limits remain with the work rather than in one person’s memory.
Start with the current problem
A first conversation establishes what people need to decide, what records are available and which practical change is worth making first. No confidential files are needed for the initial enquiry.