To optimize their way of working for their project management, our customer asked us to do a project within Jira. Jira software aims to track issues to obtain agile project management. However, due to unique workflows and misuse of Jira, keeping an overview of the complete process becomes complicated. Therefore, Apolix built a customized process mining solution based on three pillars: conformance, data cleaning, and project management. The solution created resulted not only in process transparency, but we have given customized report automation and a dashboard that discovers real-time process deviations.
For our customer, one of the biggest telecommunication providers in Europe, we analysed their Salesforce Sales Cloud process. Their common challenges were that each opportunity was quite complex, and sales representatives utilised the software in their own way. Therefore, opportunities tended to stay longer in the funnel, consequently missing out on potential sales. Not only did we create transparency in the process, but we also discovered that combining opportunities and accounts helped to determine why an opportunity was lost and why the approvals took more time than expected. Check out our full Customer Success Story!
Our client is the global leader in the agricultural industry for creating sustainable flowers. They experiment extensively to develop new materials. Their Material Creation process is lengthy and complex due to many variables. To bring transparency into the said process, we started by connecting two different processes that rely on each other throughout the creation of new flowers. With complete transparency into the overall process, we gave our customer the data to understand the effort for the material creation versus the actual usage of the material
The municipality of Hilversum aims to send out the annual municipality charges before the 1st of March every year. However, due to many manual interventions, the procedure around calculating and processing said charges are highly complex and time-consuming. Therefore, Apolix built a tailored process mining solution. Not only did we create transparency in the process, we gave them a risk-and-control matrix to manage the risks and a dashboard to discover in real-time the as-is situation of all charges.
For our customer, a telecommunications company in the service management industry, we analyzed their customer service process. From looking at how they currently handled complex customer inquiries to reassignment rate between agents, we took the entire process under the loop. Read our the Customer Success Story where we take you through the entire journey from what the challenges were to how we optimized the process.
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.
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.
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.
Process mining can add value to any kind of industry, process, or organisation. The successful project Apolix did for Rotterdam’s iconic zoo, Diergaarde Blijdorp, is a great example of this. As a result of the corona measures Diergaarde Blijdorp has been closed most of 2020. We were very proud to be able to help with analysing and optimising their maintenance process.
The vast amounts of data organisations collect is not used to its full potential. Marketing analytics turn out to be difficult, even though the value has been proven. In the journey towards a data driven marketing department, Apolix helped 100%Driven to build a predictive model with machine learning.
The findings indicate the importance of improving the quality of the purchase orders. Even though Ampelmann has an outstanding throughput time, much manual labour can be prevented. This will result in higher process compliance, efficiency and time for other improvement projects.