From Data Pool to Reporting Engine – No Pigeons, No Paper, No Stress.

Our client had a large data pool – what was missing was an automated way to regularly generate and distribute reports. No manual intervention, but with full control.

Detailed requirements:

• Calculation of report content based on existing data
• Automatic creation and delivery of reports
• Report content defined via export from a third-party system – or manually via UI
• Configurable parameters per report, e.g., time range or recipients
• Overview of the current status of each creation and delivery
• Ability to stop ongoing processes or manually intervene

The client received a web application that now handles what was once manual and time-consuming: reports are defined once, automatically generated, and delivered at desired intervals – no manual input needed. The entire process remains traceable at all times: from creation to handover to other systems, status is transparent and controlled.

This eliminates the need for manual generation and distribution – and adjustments can be made much faster. New report variants need only be defined once, and the application takes care of the rest. This not only saves time but also enables the client to respond flexibly to new requirements.

The web interface offers an additional benefit: no special software is needed on client devices. A modern browser is enough – making the application easy to manage and deploy without major technical effort.

Forward-thinking was built in: knowing a new data pool would be added later, the architecture was designed with all components functioning as standalone services. A new data source could later be integrated without modifying or fully retesting other parts of the system. Future components can also be further developed independently – the architecture can handle it. And it keeps the application ready for whatever comes next.

Development was based on a jointly defined detailed specification. To avoid ending up with a black box, the application was implemented in multiple iterations. This allowed the client to track progress continuously, give feedback early, and influence details – especially to ensure the application really calculated the correct values.

This verification was particularly demanding due to the complexity of the reporting logic – making sufficient room for testing all the more important. The modular architecture helped: not everything had to be ready for the first release. Individual components could be tested, enhanced, and integrated independently – without losing oversight.