Challenge 3
Forecast Confidence Lens focused on turning unreliable supply chain spend forecasts into a confident, decision‑ready view for Programme Directors. Using the provided Rolls‑Royce datasets, the team verified key drivers of forecast fade and reframed them into a clear confidence and action narrative that leaders can stand behind when committing numbers to the CFO.
Please be aware that this content was generated follwing an automated review so may not be perfectly accurate; refer to the original challenge brief and team files for authoritative information
Improves executive confidence in supply chain spend commitments by making forecast reliability explicit, highlighting early warning signals, and reducing the risk of over‑ or under‑committing capital due to forecast fade.
Supporting Documentation/1. Painpoint.docx: Evidence‑backed validation of forecast fade drivers, confidence issues and supplier behaviours using the provided datasets.Supporting Documentation/Challenge_3_Discovery_Report.docx: Discovery report defining success criteria, key business questions and a decision‑support framing for the challenge.Supporting Documentation/miro link.txt: Link to the Miro board used to map insights, drivers and the Programme Director decision journey.
team: Forecast Confidence Lens members: tbc topics: solution-centre, hack27, challenge3, data-analytics, excel, data-modelling, visualisation, supply-chain, forecasting, confidence-metrics, decision-support, risk-management technologies: data-analytics, Excel, data-modelling, visualisation