Cognitive Document Automation (CDA)
At its core, RPA solves problems associated with data-centric manual tasks and remains ideal as a tool that interacts with websites, business and desktop applications, databases and people to execute repetitive work. Simply put, RPA is the “hand work” of processing electronic data. It empowers human employees to shift from being data gatherers to data users; they can focus on more cognitive and strategic business initiatives that better serve customers—and increase their job satisfaction.
Now that 2018 is in our rearview mirror, we think it’s the perfect time to not only look ahead to the top 10 smart process automation trends coming up in 2019, but also take a moment to reflect on the topics and trends that resonated with our audience this past year.
In recent years, the software robot revolution has shown how robotic process automation (RPA) unlocks the value of electronic data previously trapped in internal and external systems to make it easily accessible, manageable and useable. It has also proven to be a valuable digital coworker to human employees in streamlining operations and expediting key business activities that serve customers.
AIIM’s recent research in the State of the Industry report identified “digitalizing” core organizational processes as currently the most important practice area for organizations relative to achieving their digital transformation goals.
As organizations roll out their robotic process automation (RPA) initiatives, they frequently encounter efficiency challenges with receiving and processing documents and the information contained in them.
Information in documents only represents a subset of all the information required for business processes to be truly automated. Where is the rest? It’s in the form of electronic data trapped in internal and external systems, waiting to be acquired and used by the business process.