Implementing process automation as cost and quality optimiser has been part of a normal business routine within the white-collar professions for decades.
By Jesper Vosgerau, Senior Associate, Advisory, KPMG in Denmark
Implementing process automation as cost and quality optimiser has been part of a normal business routine within the white-collar professions for decades. Starting with the introduction of ERP, CRM and logistics systems and later with the addition of automated workflows or simple screen scraping methods to reduce swivel chair work and overcome pure or complex systems integration.
Today, vendors of process automation software have overcome past systems integration issues; and with the possibility of accessing enormous amounts of data provided through big data systems and the internet in combination with continuously growing computer power, this enables us to search through structured and unstructured data, combining results to analyse our way to the right answer in no time.
These possibilities have restarted the hype of process automation. This time fuelled by terms like "Robotics", "Cognitive Computing" and "Artificial Intelligence".
There is still more talk than walk in the RPA area of Cognitive Computing and Artificial Intelligence, and it will still be some time before everyone can leverage from the full scope of new RPA services, but this is a fast-growing and competitive market, where new products and features are emerging fast.
If you are not an early adopter and doubt or fear the consequences of implementing RPA, then click here to download Got automatonophobia? from KPMG Institutes and get four steps to start implementing RPA in your business.
© 2018 KPMG Statsautoriseret Revisionspartnerselskab, a Danish limited liability company and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.