Robotic Process Automation - Providing easy access to high quality data

A large public sector organisation sought to reduce the time and effort spent on repetitive reporting processes while improving data accuracy. The existing workflows required multiple teams to manually extract, clean, and compile information from various systems, often leading to delays and inconsistencies. To address this, the project aimed to introduce a fully automated reporting pipeline that could scale with the organisation’s growing data needs.

I led the design and delivery of a Robotic Process Automation solution, mapping end to end processes and identifying the highest impact automation opportunities. The final implementation used Azure Functions to orchestrate data extraction, transformation, and loading from multiple systems into a central reporting environment. Built in error handling, detailed logging, and automated notifications ensured the process could run reliably without manual intervention.

The automation was fully integrated into the organisation’s analytics platform, providing real-time access to key operational and financial metrics. Reporting cycles that previously took several days could now be completed in hours, with zero data entry errors and significantly less manual effort. This freed analysts to focus on generating actionable insights rather than performing routine data preparation.

Beyond the immediate time savings, the project created a sustainable foundation for future automation initiatives, enabling the organisation to expand its use of RPA across other business functions.