Robotic process automation, also referred to as the acronym RPA, allows businesses to automate their existing back-end processes.
This may sound complicated, but it is actually quite simple. Let us explain. Essentially, RPA is just intelligent software (i.e., the robot) that is created to carry out data processing, information exchanging, and any other task that can be completed automatically.
This can include anything from sending a simple automatic email in response to a customer inquiry, to managing the back-end of a complicated ERP system that runs hundreds of processes.
So, what is the advantage of this? By using RPA, your employees free up time spent on tedious tasks and can perform more value-creating activities, thus, boosting productivity levels.
The beauty of robotic process automation is that it is not limited to just one industry. The financial services industry was among the first to implement it. Now, RPA can be found in healthcare, retail, HR, supply chain, production, IT, and more.
One frequent issue users of RPA encounter is a thing called unstructured data. Unstructured data makes up anywhere from 70 to 90 percent of information within a business, such as images, videos, emails, audio files, text, PDF files, documents, and metadata.
While human eyes easily understand these kinds of files, they are not clearly structured in a way robotic process automation can easily comprehend. Read on to discover how unstructured data can affect your robotic process automation.
Causes True Automation Issues
As with most automation, unstructured data can cause bottlenecks in your processes. The main reason why companies use RPA is to create smooth, streamlined workflows that they can set up, activate, and then forget.
The RPA system is not why companies fail to achieve true automation; the issue lies in their unstructured data and how difficult it is for the software to read.
If there is a sudden “gap” within your data (lack of data or non-extractable data), then issues begin to form, and human employees must be swept away from their value-creating tasks to solve the information gap.
This is why it is so essential for your documents and information to be as comprehensive as possible—the “cleaner” your data, the smoother the automation you will produce.
Limits Possibility for Advanced Results
As previously mentioned, RPA can assist with even the simplest of automation tasks such as email replies or populating customer form data.
While these processes definitely contribute to higher employee productivity levels, the true power of RPA lies in its ability to perform advanced, more complex tasks. The issue with this is that unstructured information makes these advanced tasks harder to complete.
A few examples of a complex task would be facilitating IT management, aiding with research and development, and expediting other strategic plans. Now, why exactly are advanced results hard to achieve with unstructured data?
Because intricate processes require pristine data, meticulously formatted for maximum results. The only “perfect” results you will receive when dealing with unstructured information come from the simpler processes.
With that said, you shouldn’t let your piles of unstructured data stop you from using robotic process automation. Humans4help has a fantastically designed AI RPA software that can assist with a spectrum of task processes across all industries, levels of complexity, and data types.
Not only does the software intelligently evolve, but it also optimizes flexibility and responsiveness for lightning-fast results. Automating your business does not have to be difficult, no matter if you use structured or unstructured data.
However, taking the extra time to format your unstructured data for RPA will save you from a massive headache in the long run.