On your journey to improve your business processes, you need to understand where you are today. This can be achieved manually using workshops and observations to model your processes – or you can use process mining to create an accurate and objective picture!
Taking the manual approach can lead to personal views of how people ‘think’ processes run, while the process mining approach will lead to a fuller and more accurate representation of the end-to-end process, including the wide array of variations and nuances.
As Professor Pedro Robledo[i] says, process mining allows “a party to extract information from event and transaction logs to discover models that describe processes … so it reduces the time necessary to model a process that is then optimized and automated in BPM”.
In short, process mining uses the operational data (date, time, user, activity, object, etc.) stored in your system event logs to uncover what actually happens. This detailed insight provides an accurate view of process flows and performance that support improvements and new process development.
Using data and insights generated from your event logs, process mining allows you to identify constraints, prioritize improvement opportunities and pre-empt compliance and regulatory issues.
With a detailed visualization of your actual processes you can see the paths and flows along with frequency, wait time, bottlenecks, exceptions/deviations, statistics, variances, costs, compliance issues, inconsistencies, etc. Process mining has the ability to highlight things you may never have known or thought about.
From here you can investigate and identify problem areas such as staff training issues, system capacity, resource constraints, quality issues, poor process design, under staffing, staff rule breaking, missed compliance, inconsistencies, and so on.
With a clear view of the problem areas to focus on, you can use scenario modeling and simulations to create and bring to life alternative flows and resource utilization models that address the identified problems.
Used continuously, process mining is able to repeat this cycle so the organization is constantly improving its processes in line with transformation and operational efficiency initiative goals.
As a process owner, engineer or analyst; transformation lead or consultant, or compliance or audit officer responsible for process analysis and improvement, process mining is a game changer. It provides a set of powerful tools that enable non-technical people to:
Wherever process data exists, process mining is able to support improvement in use cases. For instance:
Process mining gives you the information needed to discover and investigate issues like these in business process. Coupling this with your own understanding of your processes, industry and relevant regulations and standards allows you to use scenario modeling and simulations to identify opportunities for improvement and compliance that will transform the process for the better – all based on actual data that supports better decision making.
Going a step further, while going through the above phases you will have gathered knowledge that can be used to support the creation and rollout of supporting documentation such as work instructions for frontline staff and/or step-by-step guides for customers.
When getting started with process mining consider the processes, the supporting systems, required metadata and data access.
Processes: which process (or processes) are you looking to analyze?
Systems: is the process supported end-to-end (or to a fairly significant extent) in one or more systems?
Meta-data: do your system(s) record a Case ID, an Event Identifier, a Timestamp and (useful but not mandatory) a Resource/Role for each transaction or case?
Data access: are the system event logs accessible to you?
Here are a number of key terms and phrases that will help you navigate around the world of process mining.
Case: each transaction, usually represented by an ID of some kind, is a case.
This could be:
Events: the events or activities that take place through the lifecycle of each transaction.
This could be:
Time stamps: a record of when each event took place.
This could be:
Variants: each unique potential path a case can take through a process.
Additional Meta-data: any additional useful data that is recorded and can be used to better analyze the process.
Examples include:
BusinessOptix Process Transformation suite includes capabilities to help you mine and improve your processes. Key capabilities will help you to:
In mining and creating your future processes BusinessOptix will have captured a base of knowledge that can be used to create a more well-rounded view of your operations. All of this knowledge can be used to support your overall business through creating documentation, proving compliance and providing insights to support better decision making.
As Gartner[ii] say, “improve visibility and understanding of the actual performance of business operations and processes, by investing in process mining”.
References:
[ii] Gartner Market Guide for Process Mining, Marc Kerremans, 17th June 2019