These examples show the data engineering layer behind reporting: SQL models, stored procedures and reusable datasets built from messy operational systems. They show how event logs, audit trails, questionnaire responses and telephony records can become stable reporting tables that Power BI, SSRS and analysts can trust.
The emphasis is on interpretation as much as transformation: reconstructing timelines, defining episodes, applying business rules, and documenting logic so that complex operational activity becomes explainable and repeatable. The work is based on real client projects, with identifying details removed and values changed; examples do not identify organisations, expose operational details or represent actual activity volumes.