At Apolix, we think beyond the usual business processes now and then. Not only does this widen our perspective on new processes, but it also is an interesting thought exercise to force ourselves to look at things from another perspective. This article will therefore focus on Formula 1: what does a Formula 1 season look like through the eyes of Celonis?
In most industries, order management is the first step to engage in a strong long-lasting customer relationship. The process starts with the moment from which an order is received upon until the order was shipped and the customer paid the invoice. Having an effective and reliable order management process is a massive challenge for most firms due to the complexity of the process and the volume of orders, especially for larger organizations. However, with the emergence of process mining firms can now get a full transparency of their O2C processes while improving in key performance areas such as labour productivity or customer satisfaction.
In what way can Process Mining be used for successful RPA implementation? Process Mining can be used in different ways to support the implementation of RPA systems within a company's system. Not only can Process Mining optimize processes, it can be also be used to identify processes that are particularly well suited for RPA. After RPA is implemented, Process Mining's use evolves into becoming a monitoring tool in which the software robots are supervised on performance.
Individual mobility behaviors are continuously recorded through mobile phones, wireless networking devices, and GPS appliances using various positioning methods. These mobility statistics are crucial for gaining a better understanding of people's mobility habits. Recent studies reveal that, despite differences in the mobility areas visited by individuals, human behaviors in mobility are very regular, implying that most people follow a simple and repeatable pattern. With the help of Process Mining, it’s possible to visualize and improve also the mobility sector!
For our customer, a company in the medical supply and healthcare industry, we made a complete visualization and analysis of their 'personalized' Prescription-Based Order Excellence process. From project methodology to General findings to Action Taken to Conclusion, we cover the entire process in this Customer Success Story.
The Accounts Payable (AP) Process is the management and execution of a company’s short-term payment obligations to suppliers. In other words, it is the process of paying suppliers for goods and services purchased on credit. The AP process is a sub-part of the Procure-to-Pay process, which includes all activities from procurement to invoice processing and supplier payments. How can Process Mining support this process? Read more to find out!
We are incredibly proud to announce that Apolix is selected as one of the most promising start-ups of 2021 in the Netherlands by MT/Sprout! We need your help one more time to secure this position by voting for us via this blog post!
In our previous project, we focused on the student application process to attract international top talent to the EUR. Drawing upon the success of this data driven approach, we are extremely proud to announce we expanded process mining to the student journey for the renowned Erasmus School of Law. Erasmus School of Law offers both undergraduate, graduate and PhD education in law and criminology.
Do you believe you are not getting the most value out of your Salesforce Implementation? Recently you made a large investment for your company or department by implementing Salesforce. However, post-implementation and after having worked with Salesforce for a while, you notice that a significant number of fields are not being used.
Within the Erasmus University, the ability to understand processes and improve student experience is part of their digitalisation strategy. The digitalisation of processes and capability towards a data driven organisation serves the solution for problems within the admissions process. Process Mining is the perfect fit to help build understanding and create more enthusiasm for data-driven working.