- Purpose: Develop and operationalise predictive analytics capabilities to provide forward-looking insights, supporting proactive decision-making in areas such as customer management, project tracking, and operational efficiency.
- Scope: This BHAG focuses on the development of predictive models, supported by infrastructure enhancements, to deliver real-time, actionable insights.
- High-Level Intent: Move from reactive to proactive decision-making by implementing predictive analytics, which helps anticipate challenges, optimise resource allocation, and meet strategic objectives more effectively.
Start-up:
- Purpose: Identify core areas where predictive analytics could drive value.
- Goal: Begin prototyping simple predictive models in selected areas (e.g., customer trends, project timelines).
Foundation:
- Purpose: Establish a standard framework and platform for developing predictive insights.
- Goal: Deploy initial predictive models with stakeholder input to test viability and impact.
Reporting:
- Purpose: Enable actionable reporting that includes early predictive metrics.
- Goal: Roll out reports that incorporate predictive elements to relevant departments, such as trend forecasting.
Predictive:
- Purpose: Integrate predictive insights routinely across key business functions.
- Goal: Expand predictive models to cover multiple operational areas, refining accuracy and actionable outcomes.
Embed:
- Purpose: Make predictive insights a fundamental component of strategic planning.
- Goal: Ensure all major departments use predictive insights as a routine part of decision-making.