Robotic Process Automation (RPA) has been a major topic of interest over the past few years. It isn’t a new concept, but with the advent of new delivery options, the results that can be achieved are continually improving. In order to improve any process by making it more efficient or lowering its operational costs, though, we must first understand how it currently works. That’s where process discovery and documentation are key to your overall success.
Let’s use common analogy – automotive performance. Does improved performance mean you want to go from 0 to 60 mph quicker, improve handling or achieve better fuel efficiency? You first need to understand what better performance means to you, and then you can take inventory of what you already have. At that point, you can put a plan in place to improve your vehicle’s performance. If you want more horsepower, you wouldn’t replace the tires. Likewise installing a new cold air intake won’t upgrade your car’s handling. If you rush out and buy something you think you need, without understanding what you have, you may end up with an expensive credit card bill and the same old car.
It’s no different when scaling your RPA practice. To implement an effective automation solution, you need a strong understanding of your end goal, as well as a good handle on your current situation. UiPath has a great RPA Adoption Model addressing a strategic Top-Down approach versus a task-level Bottom-Up approach and when each makes sense. Leveraging the right analysis and documentation, in the form of process mining, process intelligence and Artificial Intelligence (AI), can help achieve your desired performance and at a faster rate, resulting in a very powerful automation solution.
At OpenConnect, we think we have the secret sauce to improve any process — large or small, basic or complex. Even if you don’t know where to start in your automation journey, we can help. It starts with accurately capturing the right activities and tasks being performed. You can get log data from larger packaged software like SAP and Salesforce. However, if you aren’t including desktop tasks, you are not seeing the full automation opportunity. Using WorkiQ we capture EVERY task that occurs on the desktop, and we do it natively. It’s not an experiment or done it a lab setting. The tasks are captured where your people are doing actual work without interrupting the user. It doesn’t capture how the work is supposed to be performed, but it captures how it is actually being completed. Once this data set is collected, we port that to process mining solutions like PAFnow to execute a deep analysis on all data sets and process possibilities. We can also send it to our DiscoveriQ tool for quick process documentation outputs of known process activities and variations. By using analytics to help design the outcome you are able to produce a result that improves your speed to ROI, overall cost savings and the final outcome.
As you consider your automation drive, remember to take a look at your current processes and activities to chart your path forward. Once you have that in your sights, 0 – 60 in under 6 seconds is right around the corner.