Part 1 - How Process Mining is fulfilling Enterprise Digital Transformation Needs –

In the current dynamic business landscape, digital transformation has become very pivotal for enabling process optimization. Still, without a clear roadmap and vision, businesses may considerably struggle in realizing their full potential. Many vendors are now advocating for an iterative approach towards the fulfillment of digital transformation, by aiming to mitigate risks, facilitating swift decision-making, and enabling quick identification of optimal automation opportunities. It should be noted that, the traditional improvement methods often fall short in this context, thereby underscoring the importance of overall agility and precise understanding of the relevant business processes.

• Conformance Verification and Checking – Ensuring strict adherence to process compliance by uploading the existing BPMN models or creating new ones and identifying relevant deviations and reworks – which ultimately impacts the overall lead time and associated costs.
• Automated Process Discovery – Utilizing the system data from IT systems and user interactions, driving automatic visualization of processes. Also, process mining analyzes the key historical patterns, monitors real-time system activities – thus forecasting the future process trends quite accurately.
• Overall KPI Management – Process Mining assists in defining and assessing standard or customized KPIs relevant to the organization, thus enabling visualization of the impact of these KPIs on the process model through customized and contextually driven concepts.
• Advanced In-depth Analytics – Process Mining also promotes ease of creation of customized dashboards by making use of an intuitive online editor. This promotes visualization of complex data sets in the form of multidimensional charts, resulting into easy identification of key patterns, and understanding of relevant concepts as well.
• Root Cause Analysis – Uncovering of key process irregularities and their associated underlying causes, through the integration of customized and specialized AI algorithms promoting in-depth analysis – is also made possible due to the effective use of Process Mining.

It can be said with certainty, that process mining has now emerged as an absolute crucial technique for discovering, analyzing, and monitoring the end-to-end processes, effectively guiding the organizations on the path of their digital transformation journeys with the required precision and efficacy.

[This blog is the 1^st Blog in a Three-Part Series around the Topic – ‘Process Mining promoting the Digital Twin of an Organization (DTO) Cause’]

Author: Apoorva Dawalbhakta, Associate Director (Research) at Quadrant Knowledge Solutions