Prescriptive Analytics
Identify optimal resource allocations, generate insights, and leverage predictive analytics and optimization techniques.
What is Prescriptive Analytics?
SAP Prescriptive Analytics helps organisations move beyond understanding what happened or what might happen, to determining what should happen. The tool combines predictive modelling with optimisation techniques to recommend specific actions for resource allocation, scheduling, and planning. It's designed for businesses that need to make complex operational decisions across multiple constraints, such as manufacturers optimising production schedules, logistics companies planning routes, or retailers managing inventory across locations. Rather than simply showing trends, it actively suggests the best course of action based on your data, business rules, and objectives.
Key Features
Optimisation engine
Recommends specific actions and resource allocations to achieve defined business objectives
Predictive integration
Combines forecasting models with optimisation to account for future uncertainty
Constraint handling
Manages complex business rules, resource limits, and dependencies in recommendations
Scenario analysis
Tests different approaches and their likely outcomes before implementation
Integration with SAP systems
Works alongside other SAP applications for data consistency
Pros & Cons
Advantages
- Moves beyond insights to actionable recommendations, reducing decision time
- Handles multiple competing priorities and constraints simultaneously
- Freemium model allows organisations to start without upfront investment
- Part of the SAP ecosystem, offering integration advantages for existing users
Limitations
- Steep learning curve for users unfamiliar with optimisation concepts and mathematical modelling
- Requires clean, well-structured data; outputs depend heavily on data quality
- Limited transparency regarding free tier capabilities and limitations from public sources
Use Cases
Manufacturing: Optimising production schedules and machine allocation to minimise costs and meet demand
Supply chain: Planning warehouse locations, inventory levels, and distribution routes
Retail: Determining optimal staffing levels, pricing strategies, and promotional budgets across locations
Resource planning: Allocating personnel, equipment, or budget across competing projects
Scheduling: Creating shift patterns or project timelines that maximise efficiency within constraints