This article tells you how Process Mining helps accelerate intelligent process automation.
A quick look at the digital transformation strategies that companies are carrying out, such as the implementation of Artificial Intelligence systems or the incorporation of Hyper-automation, shows the usefulness of data mining or Process Mining to boost and accelerate these types of initiatives.
The importance of understanding business processes
Today, many companies have huge and costly business processes that are underpinned by inefficient, unconnected and inflexible technologies. Organisations in their eagerness to improve this reality embark on projects to implement automation along the value chain, often in silos and in disparate ways. They start by automating processes without really knowing them and having visibility and traceability of them. Process mining is the solution to this problem.
Process Mining is a fundamental part of creating visibility and understanding of processes prior to automation. Furthermore, it not only allows us to understand them but thanks to process mining we are able to visualise how the different areas of automation are connected and how they can be continuously improved.
78% of companies that have implemented automation say that Process Mining has been key to making their automation initiatives viable.
Process Mining Sector Scan, January 2020
More and more companies are becoming aware of the importance of analysing and understanding the actual performance of their operations and business processes before starting any process redesign and automation initiative.
In a Hyper-automation approach, Process Mining brings great advantages and provides a complete context for improving processes and ensuring that maximum benefit is obtained from automation initiatives.
What are Process Mining and its capabilities
As mentioned above, Process Mining is a process analysis discipline that seeks to discover, monitor and improve business processes by extracting knowledge from the data available in corporate information systems. It includes automated process discovery capabilities, compliance checking, simulation model building, model extension and repair, case prediction and improvement recommendations.
Data and analytics managers should note that process mining capabilities vary among technology vendors and that not all process mining tools will support all of them. While they typically address most functions, advanced analytics models can always be used to complement the shortcomings of these systems.
Through these capabilities, Process Mining allows us to:
- Identify and analyse processes to understand how business operations are executed.
- Visualise and understand how processes contribute to business value in any functional area.
- Identify bottlenecks, deviations or inefficient processes that need to be rethought or automated, and relate these friction points to KPIs.
- Understand the root causes of deviations and quantify the impact of these deviations on process performance.
- Predict the future performance of a process in different scenarios to make better decisions and prioritise automation and process improvement efforts.
- Continuously monitor processes and size improvements.
- Determine best practice actions and/or corrections on the people involved in the execution of the tasks of the studied processes.
This recently available technology can be applied to any type of business process. It provides data and analytics managers with information that enables faster and smarter decision-making and improves the performance of an organisation’s most important operations. In this way, it helps to achieve significant goals in terms of efficiency, organisational transparency and customer service in an accelerated manner.
If you want to know more about this new discipline that will undoubtedly change the way we shape and manage business processes, contact us.