A growing finance team was spending days each month stitching together reports by hand in spreadsheets. The work was slow, error-prone, and dependent on a single analyst who understood how everything fit together.
We ran a progressive data programme — starting with practical data analysis for the whole team, then Excel-to-Power-BI and SQL for reporting for the analysts. Throughout, we worked with the team's own data so every exercise mapped directly to their monthly reporting cycle.
The monthly reporting effort dropped from roughly three days to half a day, with live Power BI dashboards replacing manual spreadsheets. Knowledge is now shared across the team rather than concentrated in one person, and reporting errors have fallen noticeably.
Because the training used the team’s real reporting data, the dashboards built during the sessions went straight into production — the learning and the deliverable were the same thing.
A key win was resilience: with several people now confident across the reporting stack, the team is no longer exposed when one person is on leave.
After a near-miss phishing incident, this 180-person manufacturer realised that cybersecurity was being treated as an IT-only problem. Office and production staff had little awareness of everyday threats, and there was no shared language for spotting or reporting them.
Read case studyStaff at this 60-person agency were already using AI tools informally, but with no shared approach. Quality was inconsistent, sensitive client information was at risk of being shared with public tools, and leadership had little visibility of how AI was being used.
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