Find out why you need to achieve hyperautomation so that your company is digital-first and gains efficiency by saving time and money
The acceleration in digital adoption caused by the pandemic has highlighted the need to completely redefine the way businesses operate. Long-term success requires rethinking the approach to all business processes. But how can hyperautomation help us seize current opportunities and address immediate challenges?
The need for a holistic approach
86% of business executives across functions surveyed in 2021 by Harvard Business Review Analytic Services say their organization accelerated its digital transformation during the pandemic. Among them, 91% plan to maintain the accelerated pace of digital transformation post-Covid-19—or move even faster—showing how permanent the change in speed is.
Although the crisis generated priorities - some processes loan database more important when it came to digitalisation - the truth is that the new global context demands a new technological culture. Digital transformation cannot be seen as an objective, but rather as a kind of springboard that allows companies to offer better experiences.
After facing multiple challenges over the past two years (massive shift to remote work, reconversion of supply chains, among others), organizations have managed to reduce uncertainty thanks to the automation of processes, especially those linked to documents and data.
The global market for hyperautomation-enabling technology will reach USD 596.6 billion by 2022.
Source: Gartner
The need to solve new challenges is still in force, so now the real evolution goes hand in hand with hyperautomation. What does it consist of? In addition to placing it as one of the main strategic trends of 2022, the consulting firm Gartner defines hyperautomation as an approach that organizations use to quickly identify, examine and automate as many business and IT processes as possible.
UiPath , meanwhile, defines hyperautomation as the process of applying advanced technologies, such as artificial intelligence, machine learning and data analytics, to automate and template tasks that used to be the responsibility of humans.
Hyperautomation for a successful digital transformation
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