Data & Reporting Automation
Reports that assemble themselves, data that arrives clean, and dashboards built from the systems you already use.
The problem
In many businesses, reporting is a weekly ritual. Export from one system, export from another, paste both into a spreadsheet, fix the columns that don't match, and hope nothing was missed.
Data entry follows the same pattern: the same information typed into more than one place, by hand.
What it costs
- Hours every week spent assembling data instead of using it.
- Errors from copying, pasting, and mismatched formats.
- Reports that depend on one person knowing the steps.
- Decisions made on numbers nobody fully trusts.
What we build
- Scheduled reports that pull from your existing sources and arrive automatically.
- Dashboards that bring together data across locations and systems.
- Data consolidation that combines exports, APIs, and spreadsheets into one consistent dataset.
- Automated data capture to replace repetitive manual entry.
- Data cleanup and normalization: matching product codes, fixing formats, and flagging duplicates and gaps.
- Repetitive data workflows that follow the same steps every time, without someone needing to remember them.
An example
Your team exports three reports every Monday and combines them by hand. We automate the export and the combining, check the result for missing or mismatched records, and deliver the finished report. Exceptions are listed separately, so nothing is silently dropped.
Built to be trusted
A report is only useful if people believe it.
- Validation rules check data before it reaches a report.
- Exceptions are surfaced, not hidden. Missing or inconsistent records are listed for review.
- Read-only access to source systems wherever possible.
- Documented data flows, so you know where every number comes from.
- Tests on the logic that transforms and combines data.
Related work
Is reporting taking more time than it should?
Tell us which report, where the data comes from, and who puts it together.