4. Successful RPA implementation requires process insight
There are great benefits available with RPAs. But they’re team players, part of the toolkit, not a first and final fix-all.
To get the most value out of robotic process automation, it's vital to start with a clear understanding of business-wide processes, their interactions, and their interdependencies. Business process management success is impossible without this understanding.
It’s even more crucial, however, to maintain process visibility throughout the automation process, using insights to shape and reshape RPA deployment. Businesses don’t operate in a vacuum; trading conditions change, priorities change, and processes need to change with them in order to deliver against business goals.
It’s estimated, for example, that as many as 30-50% of initial robotic process automation (RPA) initiatives fail because businesses target the wrong processes, automate inefficient processes, or fail to consider what happens to processes post-automation.
That’s why the end-to-end insights provided by process mining provide the perfect foundation for successful RPA implementation.
What’s process mining?
Process mining acts like an MRI for businesses, enabling organizations to visualize how their processes actually run in minute detail, and in every variation, identifying any execution gaps. This information is extracted from real-time event logs in an organization’s systems.
Celonis has taken these capabilities much further. With innovations such as the Celonis Object-Centric Data Model, which uses object-centric process mining (OCPM), organizations can access end-to-end maps of their complex business processes and how they interact with each other.
How will Celonis' process mining help with RPA implementation?
Process mining, particularly with Celonis, supercharges any RPA implementation in two key ways:
1. Optimize the right processes: With RPA implementation still at the planning stage, the Celonis system helps organizations pinpoint the processes where process automation would add greatest value to business performance. Analysis of the systems-generated data provides a clear picture of how processes really operate (not how they were designed to operate). This enables process transformation leaders to optimize automation investments, while avoiding the risk of automating inefficient processes.
2. Situational awareness: More importantly, these insights deliver process observability, a situational awareness of end-to-end processes that enable the detection of any anomalies. Detection then triggers intervention via the activation of RPA solutions.
Here’s a quick example. Through the visibility process mining provides, an organization discovers that one of its invoices was incorrectly processed because the same individual checked and approved it. This violation of policy is flagged and an RPA bot triggered to block the invoice from being paid without being rechecked properly. This situational awareness enables the organization to fix an issue before it becomes a potentially expensive problem.
The implications of this approach are significant. It means that the first time you discover a particular glitch in a process, should also be the last time. With this situational awareness, the system can create and automate countermeasures to overcome process anomalies. So the next time the same issue is detected, RPA bots are triggered to react immediately (24-7, 365 days a year).
This also means that the Celonis system enables post-automation process monitoring to ensure automations are performing according to plan and are adjusted as the business environment or organizational goals change.
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