At their core, both PDI and RPA teach computers to perform data-related tasks on our behalf. They can help your organization achieve similar goals:
Improve accuracy
Reduce reliance on costly and resource-intensive manual data entry methods
Buttonhole inefficiency
Improve response times
Improve regulatory compliance
Leveraging existing data to gain valuable insights
Standardize processes
Although they share overall strategic life insurance email list similarities, the main differences between RPA and PDI lie in different approaches to task automation.
What is Robotic Process Automation?
Robotic process automation (RPA) is the pet of your tech stack. Give these robots the rules for a job and they’ll follow orders flawlessly.
RPA prefers structured data, i.e. documents in which information appears religiously in a fixed location. It can quickly comb through spreadsheets, bank statements, and receipts.
It’s not just a data mining ace: RPA can also execute other action sequences. A financial institution can teach a squadron of RPA bots to connect to an anti-money laundering database and search for loan applicants’ names. If there’s a process backed by a very prescribed recipe, RPA can follow it.
APR Use Case Examples
RPA is obsessed with rules. It can mimic almost any task performed using a recipe of clicks and keystrokes. Companies use RPA to:
Copy and paste information between two spreadsheets or applications
Moving files from one system to another
Manage databases
Screen scraping
Fill out the forms
Prepare standard reports
From sales to operations, human resources to accounting, robotic process automation dramatically reduces manual administrative work.