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In the processes of your organization, many changes are needed in the foreseeable future. Using Process Analytics will allow you to quickly and thoroughly analyze your processes, improve and manage them. Process Analytics, consisting of Process Mining and Data Science, helps you with the setting up of a clear and quick diagnosis. This diagnosis is the starting point for the implementation of improvements and innovations within your organization!
Process Analytics: Process Mining and Data Science
Process Analytics consists of Process Mining and Data Science. This will allow you, as an organization, to rapidly make a diagnosis. It is one of the four cornerstones in the context of digital process transformation. 
Process Mining: digital traces of customer control
Every organization uses systems , ensuing in a data buildup. This data contains the ‘digital traces’ of your customers; the customers’ experiences and the conduct of the business processes. Process Mining allows you to make optimal use of data within organizations for the implementation of improvements and innovations. You will gain insight into how the customer really walks through the journey and experiences and enables you to objectively measure the processes. This combination will allow you the insight on how to improve the processes on a customer-oriented way. With Process Mining this could be realized so fast that it can even be used as real time intervention.
Data Science: predictive and in-depth insights
In continuation of Process Mining there are quite a few Data Science techniques available for even more advanced and predictive insights. You can learn a lot on the basis of historical data about your business processes and make predictions. The resulting models are easier for use in making smarter systems using Process Automation.