Our client, a major German Automotive Industry player, was in the process of innovating its Procurement area operations but realized that its organization was lacking the necessary visibility on underlying processes, especially due to the increased complexity of the related business and technological environment following a merge of several departments.
In order to maximize the benefit of the client’s digital transformation program, beNIMBL advised to adopt a People Centric Process Mining approach, to analyze in-depth the client’s Procurement processes in order to gain the needed insight on process inefficiencies and to identify the best digital opportunities which could systematically solve all identified issues.
People Centric Process Mining
Process Mining is a Data Mining branch, which elaborates logs from Enterprise Resource Planning (ERP) systems to reconstruct and analyze the underlying process, allowing full visibility on how tasks and activities are really executed in the day-to-day operations compared with how the process was originally designed. Inefficiencies such as reworks, process bottlenecks, and deviations from the standard path can be easily detected, allowing the prompt execution of remediation actions.
A distinctive factor of beNIMBL’s methodology is the adoption of a People Centric Approach in all of its initiatives, including Process Mining analysis, allowing full and continuous alignment between project objectives and the expectations of business users and stakeholders. This allows leveraging the knowledge of experts during the process assessment, enhancing the results that can be obtained from a purely data-driven approach, with precise context and insightful comments.
People Centric Process Mining is achieved through iterations of workshops involving business users, and data-driven process mining analysis, in order to achieve increasingly accurate results in locating and contextualizing process issues.
The first step of the journey was a workshop, carried out in a Design Thinking fashion, in which people were stimulated to think about their major pains related to the procedures of the day-by-day work. This result was the driver for the first analysis iteration: beNIMBL Process Mining experts carried out a data-driven analysis, detecting various process inefficiencies and inconsistencies in the context that was scoped before with business users.
The output of the analysis was a set of findings, which were brought to the users into a workshop for review, starting the second iteration.
Results were discussed, some were already on point and could be used as evidence for remediations, while others were either discarded as normal business practices or needed further investigation. For this last category, analysts were involved again and the second iteration of the analysis was executed. This went on until, after a third iteration, business users completely agreed with the results of the analysis: problems and related root causes were clearly identified.
As the last step of the methodology, beNIMBL Process Experts and Digital Advisors identified remediation actions aimed at removing process inefficiencies and maximizing benefits for business users. Remediations were both digital solutions to increase process consistency and reliability or to facilitate day-to-day operations, and training or change management initiatives. In some cases, further focused studies were suggested as part of the remediations.
All the remediations were then prioritized and classified using a Priority Matrix, a simple and effective tool to summarize results at the executive level. Based on the shared and approved Priority Matrix, an Action Plan ready for execution was finally defined.
The full deck containing analysis results, recommendations, remediations, Priority Matrix, and Action Plan was presented to the project team and released as the final deliverable.
beNIMBL’s People Centric Process Mining, one our People Centric Approaches, is a brand new approach to digitization that we ideated to leverage Process Mining tools in the context of digital transformation.
The key benefits of People Centric Process Mining are: