Predictive Analytics Pilot

Objective: Demonstrate the value of predictive modelling in a practical business context through a low-code proof-of-concept.

Scope of Work:

• Selection of one priority use case in collaboration with management (e.g., demand forecasting, customer churn prediction, lead scoring, workforce planning)
• Data preparation and transformation (including cleansing and feature engineering)
• Development of predictive model using low-code platforms (Power BI, Dataiku, Azure ML Studio, or equivalent)
• Model validation and performance testing
• Explainability analysis to ensure transparency and board-level confidence
• Roadmap for scaling predictive analytics capabilities across the organisation

Deliverables:

• Predictive model (prototype) with visual outputs
• Model validation report (accuracy, limitations, and improvement areas)
• Business case document outlining ROI potential and resourcing implications
• Technical handover pack for internal or external teams
• Roadmap for scaling to production

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