Anticipate outcomes with predictive
Use predictive algorithms and machine learning to assess the likelihood of future outcomes and steer your business in the right direction.

SAP Predictive Analytics
Create, deploy, and maintain thousands of predictive models with SAP Predictive Analytics. This on-premise product can help you anticipate future behaviour and outcomes – and guide better, more profitable decision making across your digital business.
SAP Analytics Cloud
Our cloud-based predictive analytics software works alongside the business intelligence (BI) and planning tools in SAP Analytics Cloud – so you can discover, visualise, plan, and predict in context. Utilise lightning-fast SAP HANA in-memory technology and machine learning to uncover relevant predictive insights in real time.


Explore our solution capabilities – and see how they work together to meet your end-to-end predictive analytics and business forecasting needs.

Model Management
• Deploy and embed thousands of predictive models directly into business processes.
• Scale and maintain peak performance for every model – and schedule updates as needed.
• Manage the entire predictive modelling lifecycle – from data prep to model building, evaluation, deployment, and monitoring.

Predictive modelling
• Build predictive models in days with automation and configuration features – no coding required.
• Gain easy access to a wide variety of machine learning algorithms.
• Take advantage of native predictive modelling with Big Data.
Predictive Data Management
• Accelerate data preparation and join historical data sets such as demographics, transactions, and service calls.
• Create and manage massive analytical datasets with up to 50,000 columns.
• Increase your ability to derive more accurate and predictable results.
Predictive Network and Link Analysis
• Represent data in graphs to show product or entity associations.
• Extract and explore links between your customers and social influencers.
• Generate product recommendations based on social network analysis.
• Use geo-referenced data to build models and visualise the most-visited geographic locations.
• Score data faster and apply predictive models in databases, as soon as events occur.
• Generate code for a variety of target databases.
• Embed accurate predictive results into business processes.