Robotic Process Automation (RPA)
RPA (robotic process automation) and generative AI are two popular tools in the digital transformation landscape: These two tools are widely used because of their wide-ranging capabilities. RPA’s handling of repetitive tasks enables employees to focus on higher value work; generative AI pushes the boundaries of automation through creation of original content.
With the constant evolvement of the digital transformation landscape, there are always tools for streamlining more business processes. Two of the most widely-adopted solutions are: New adopters should know each tool’s functionality and specifications before investing in it.
While robotic process automation (RPA) adoption rate has been increasing in recent years, it’s still not as high as it perhaps should be, given its numerous benefits. For example, when we break down adoption by industry, there’s room for improvement.
According to the TIOBE index that measures programming languages’ popularity, Python has been the most popular one since 2021 (Figure 1). Some of the largest companies that use Python for process automation are Spotify, Google, and Netflix.
Robotic Process Automation (RPA) automates companies’ time-consuming and repetitive tasks across different business functions. Automated processes, then: However, despite the numerous RPA benefits, a Deloitte survey puts RPA adoption at only 53%. One reason behind the low adoption rate is RPA’s cost. 37% of respondents who had implemented RPA claim their cost-to-implement expectations weren’t met.
Interest in RPA is booming. According to Gartner, RPA is the fastest-growing segment of the global enterprise software market and all industry analysts expect it to keep on growing. This growth has led to increasing interest in programming languages, such as .NET, which enable users to develop RPA bots.
The intersection of robotic process automation (RPA) and Python can revolutionize the intelligent automation landscape. RPA are software bots for automating time-consuming and repetitive tasks. Their programming flexibility makes them useful across a wide range of industries. However, after implementation, between 30-50% of RPA projects fail.
Robotic process automation (RPA) adoption is increasing. According to Deloitte, 72% of the respondents were expected to be on their RPA journey. This is not surprising. RPA‘s flexibility and wide applicability makes it useful across +100 use cases, offering numerous business-driven benefits.
A Deloitte survey of 400 respondents from different industries showed that 63% wished to use an RPA partner for a successful RPA implementation. An RPA partner is a company that provides expertise and support to organizations wanting to implement and use RPA for automating business processes.
Mergers and acquisition (M&A) deals are increasing both in developed economies and emerging markets. An important process within the M&A process is due diligence, which is the investigation of the target company. But ~70-90% of M&A deals fail. Some reasons could be: […] which could stem from manually doing some of the due diligence processes.