Automated Reporting Platform

Operational systems already produce reports. The gap is turning those files into a reliable, structured feed that can be analysed and sent without someone repeating the same desktop steps.

Manual reporting does not fail loudly. It fails by being late, by silently changing a filter, or by existing only in the inbox of the person who built the last spreadsheet. Stakeholders then argue about numbers that never had a single source.

• Retrieve operational reports from KAPPTURE via API and file extracts
• Process CSV / file output into structured records
• Store the result so it can be recalculated and audited
• Calculate the performance views people actually use
• Distribute HTML or equivalent reporting to stakeholders

Designed and implemented the pipeline: retrieval, processing, storage, analysis and distribution. Internals, credentials and private endpoints are not documented here.

• Treat vendor reports as an input contract, not as the finished artefact
• Keep processing deterministic: same file in, same structured rows out
• Store before presenting, so a report can be rebuilt
• Send a stakeholder-facing view, not the raw extract

KAPPTURE exposes reports via API and file extract. A processor (C#) normalises CSV into structured data, writes to SQL, runs analysis, renders HTML and emails the result. Each stage is separable so a source change does not require a rewrite of the whole chain.

• Retrieval of operational reports
• CSV processing and validation
• SQL storage of structured results
• Performance calculations on stored data
• HTML reporting and email distribution

• Source formats that change without notice
• Keeping credentials and endpoints out of the application footprint
• Defining performance in a way finance and operations both accept
• Failure handling when a source file is late or incomplete

Reporting moved from a manual sequence to a pipeline with a stored layer. People still review the numbers; they no longer have to manufacture them each time.

• Repeatable reporting with stable definitions
• Less manual extract-and-email work
• A stored layer that can be queried again, not only a spreadsheet snapshot

• Storage is what makes automation defensible
• The stakeholder report is a view, not the system of record
• Source-contract tests save more time than clever parsing

• Richer exception handling when a source is incomplete
• More of the analysis expressed as testable queries
• Clearer scheduling and retry behaviour