Gain more control over the future with predictive and prescriptive analytics

Predictive and prescriptive analytics enable you to utilise your data effectively. You can predict future trends and events and receive recommendations on the best actions to take in anticipation of them. This allows you to make better decisions, optimise your processes, and respond more quickly to change. Whether it concerns customer preferences, maintenance planning, or financial risks, data becomes your compass for the future.

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Understand the present, predict the future

Data is valuable. But only when you convert that data into insights can you really move forward. With predictive and prescriptive analytics, you give your organisation the power to look beyond today. You predict what is likely to happen and receive recommendations on the best course of action. This allows you to make better decisions, faster and with greater confidence.

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When certain thresholds are exceeded, the system automatically generates a ticket. This allows us to work preventively, curatively and predictively. Discover their story >

Willem Timmerman

Automation Manager at Unata

What is predictive analytics?

Predictive analytics uses historical and current data to make predictions about the future. By recognising patterns using statistics, machine learning and AI, you gain insight into what is likely to happen.

Predict customer behaviour: What will your customer need in the future? Personalise your offering based on preferences and historical behaviour.
Optimise maintenance: Detect defects before they occur with sensor data and predictive maintenance.
Make financial forecasts: Predict cash flow, detect payment risks and plan proactively.

What is prescriptive analytics?

Prescriptive analytics goes one step further. Based on the predictions from predictive analytics, this method advises you on the best course of action to take. It also takes into account peripheral factors, limitations and objectives.

Adjusting production planning: When demand increases, how can you best adjust your production capacity without creating surplus or waste?
Optimising staff deployment: Which employees should you deploy where to efficiently handle peak periods?
Managing risks: What actions should you take to limit financial or operational risks based on predicted trends?

Predictive maintenance can be used to estimate when a particular component, such as a bearing, needs to be replaced, thereby preventing malfunctions and breakdowns. This provides better insights for the farmer, but also for the dealer who maintains the machine, and for CNH itself, which can then analyse why certain components fail. Read more >

Marcel Verhoeven

Innovation Manager at CNH Industrial

A solid foundation for smart analytics? Start with your data platform.

Before you can gain insights from data, you must first ensure that it is available, reliable, and centrally accessible. With a well-designed data platform, you can bring together data from different systems. This lays the foundation for powerful analyses, dashboards, and AI applications.

Ready to get more value from your data?

Discover, together with our data experts, which insights can help your organisation move forward. From collecting the right data to building models and visualisations with impact. We guide you step by step.