The term digital transformation is often used by businesses and executives when it comes to change organizational activities, processes, competencies, and models, therefore reducing cost, developing innovations and implementing next-generation technologies. Moreover, one of the key components of digital transformation is RPA, which can be associated with replacing labor with machines, but it most likely acts as a value creator in the business and enables employees to perform their tasks better.
Recent studies suggest that up to 45% of the activities individuals are paid to perform can be automated by adapting current technologies and it is estimated an RPA software robot can perform a list of more than 600 actions in a given sequence.
With so many functional benefits, RPA is a robust solution to automate simple and repetitive tasks. Yet, there are so many such tasks in a daily basis that companies can easily be in a difficult situation regarding what RPA can – or should – automate and consequently, losing track of their Digital Transformation process.
It can be tempting to tackle big and complex process first, but this approach (while seems logical) can produce slower results as it defers the learning to the later part of the implementation. So, it is even better to tackle “low complexity/high volume” kind of tasks first, allowing the organization to get benefits faster and encouraging the RPA process to continue.
A way to ensure a good adoption process is by tackling four key RPA challenges: select the right process to automate; know which software is right for you; Integrate RPA with your organization; scaling RPA across your business. With these challenges in mind, it is most likely that your RPA strategy will be successful.
How does RPA support digital transformation?
Through its automation capabilities, RPA allows the organizations to gain knowledge about the performance of their workflows through data provided by the RPA itself. Companies can then escalate this information to adopt new digital strategies, which help adapt their processes to be even more efficient.
In addition, not only does RPA support digital transformation, it makes achieving this transformation quicker as it touches nearly all points of the value chain and has a potential impact across various industries such as finance, legal, insurance, manufacturing and more.
Beyond cost reduction
According to the 3rd Annual Global RPA Survey Report, productivity benefits can surpass cost benefits when implementing RPA: 86% of respondents indicate that their expectations of productivity improvement from RPA were met or exceeded, while the same is true of 61% in relation to expectations on cost reduction.
Other benefits that met or exceeded expectations and ranked higher than cost reduction include improved compliance; improved quality/accuracy; timelines/ability to work 24/7.
Taking all these points into consideration, RPA should not be the end of all organization’s digital transformation efforts, instead, it should be considered as only a part of a wider range of automation solutions. Nonetheless, RPA is proving itself to be a way through which digital transformation can be achieved in any industry.