Challenge 4
FutureFlo delivered FutureFlo, a data‑quality‑led schedule forecasting solution that combines structured data cleansing, feature analysis and Power BI visualisation to highlight drivers of project slippage and forecast future delivery risk.
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Expected to improve forecast reliability by addressing underlying data quality issues, reduce time spent manually reconciling schedule data, and enable earlier intervention on projects trending towards delay.
readme.docx: Overview of the FutureFlo solution, datasets, data quality approach, and forecasting artefacts.Futureflo.pbix: Power BI dashboard visualising schedule slippage trends, key influencing features, and forecast insights.slippages_combined: Combined dataset used to analyse schedule slippage drivers and feed forecasting visuals.
team: FutureFlo members: tbc topics: solution-centre, hack25, challenge4, power-bi, excel, python, chatgpt, data-modelling, schedule-forecasting, data-quality, predictive-analytics, project-controls, data-visualisation, delivery-performance technologies: Power BI, Excel, Python, ChatGPT, Data Modelling