Process Discovery Can Change the Pace of Success for RPA

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.

Automating Requirements Gathering for your Automation Process

With any software development project, the most time-consuming, critical factor is getting the requirements right. Meeting with employees, documenting their work, recording the necessary data, and more. For an automation project, you need to know the exact process flow from start to finish, including screen names, screen captures of each screen, and specific field-by-field steps taken on each screen.  These are the details used to create automation scripts, and it can’t be done without them. This means dedicating hours and resources to subject-matter experts and end users through the discovery process and having someone sit with process workers and gather all of this detailed information.

More and more we work with companies that come to us already frustrated with what lies ahead. They have a laundry list of processes they need to automate. But to make this happen they must first complete the discovery and requirement efforts which can be completely overwhelming and complex. It’s hard to see a light at the end of the tunnel when you aren’t sure where it begins.

With years of experience implementing complex RPA projects, we understand that sometimes the hardest part is getting started. Having a workforce monitoring solution in our portfolio, we’ve worked with clients to change the way automation projects get done. Our solutions help save time—and unnecessary stress—by automating the requirements needed to kick off any automation project.

Leveraging real-time data by monitoring employees as they work, OpenConnect captures a complete and accurate understanding of the details needed to visually map the process.  We developed DiscoveriQ to compile the required screen shots, illustrate the step-by-step field level details of the process, and automatically generate a requirements document.

Using DiscoveriQ reduces the requirements and discovery process by as much as 70% while also ensuring the accuracy of those requirements. This means less iterations of your automation code.

If your company is struggling with pending automation projects, regardless of which RPA solution you are using, schedule a demonstration of DiscoveriQ. Click here to learn more.