As many organizations look to automate their manual processes into digital processes, it's all about the data; a must to measure and optimize efforts. Simply automating a process does not make your organization efficient. Efficiency comes from analyzing, measuring and optimizing the process. So, what are the 3 main ways to measure your digital process? We explain below:
Process performance - first, is the process doing what its suppose to do. After automating the manual process, is the digital process performing same the manual process, are there any wholes in the process. For example, if the manual process used to route corrections to a expense report to "Expense Manager" to review, does the same action happen in the digital process.
Use of digital KPIs - use business intelligence, analytics and key performance indicators to determine how well the process is performing. These measurements should tell you where the bottlenecks of the process are but also, where functionally its failing. From a resource perspective, look and see if there are any resource deficiency at any point of the process and if there are people waiting for things to be processed by others. For example, task1 might have 1 resource assigned, and task2 might have 2 resources assigned, so at task2, 2 resources could be waiting to process tasks, but task1 can be only processed by 1 person, so there's a process deficiency at task1. BI (Business Intelligence) can also answer questions such as why employee 1 take 3 hrs and employee 2 takes 7 hrs to act on the same task.
Can the process scale up - the purpose of automation is about being able to scale your process. As example, a manual process is able to process 50 Change notices a month with 2 resources, but after going to a digital process, the digital process now processes 200+ Change notices per month with 2 resources. Most of our customers scale up at some point, and we have seen customers achieve 10x their processing rates, going from a manual process to a digital process. In most times adding more resources does not scale up the process. Process also needs optimizations in order to be most efficient.
Above are very high level measurements that can be made and should be made. Most workflow/bpm tools have BI, analytics, KPIs to drill deeper into process level data. FlowWright collects data at the smallest level, and makes the data available at the BI user interface and through the .NET and REST API. Process runtime data is specific to the domain and automated process, for example, pharmacy prescription process collects different data than a financial process.
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