The technological evolution is moving forward at a high pace and has forced many business leaders to renovate their IT infrastructure processes. It is also known as digitalization, which has replaced all traditional applications with more sophisticated and intuitive ones.
Many leaders don’t accept the term digital transformation and believe it is an imaginary concept. But it is developing us and has progressed a lot. Those who already agree with digital transformation are working hard to implement it for their businesses in an action to go ahead in competition with enhanced productivity.
Achieving this digital transformation can be more complex, where developers might have to adopt modern technologies and tools to reset their business models. Some business leaders have a vision about what they need but don’t know which technology and tools are efficient to use. And those who know the tools and technologies have already implemented cutting-edge solutions like AI/ML and RPA and have reached halfway through to achieving digital transformation and automation.
Digital transformation has been progressing for many years, but it has got its acceleration after 2020’s COVID-19 pandemic situation. Many companies tuned their IT infrastructure with a low-code development to get into the new agile world. Before low-code development for organizations, there were only two options to pick from faster, better, and cheaper processing. Luckily, a low-code product offers all three processes.
Due to that, the discussion of low-code development is across the IT industry even though it is still in its early stage. Its progress rate is slow, but it seems like it is, in a way, becoming a critical part of the modern industrial technology stack. According to the Brandessence Market Research, in 2021, its market growth was forecasted to exceed 25% as it was around USD 13 Billion in 2020, but now can be increased to USD 65 Billion by 2027.
What is this low-code development?
Low code is designed to reduce the time of software’s time to market by minimizing lines of code. Here, the reduction in line of code refers to the dragging and dropping of features’ building blocks to develop a new application, where developers can also add new features to existing low-code applications.
Legacy application development platforms may contain some build and support restrictions, but low-code supports everything with fewer restrictions. Furthermore, low-code development is an extensive remedy to all current business problems. From the approval of hierarchies, resource requests, and infrastructure security to the management of all processes.
When the low-code development platform was introduced, it was known for developing internal and employees’ supporting tools. Moreover today it has achieved more new capabilities. Now, there has been a sudden rise in low-code implementation adoption. Low-code tools have achieved lightning speed for building microsites for modern digital services and customer help-desk portals.
Developers’ Mistake In Utilizing Low-Code Development:
There is a saying that “the improvement in the usability of a particular tool/practice depends on how you understand it today.” Most enterprises that have already adopted low-code are currently operating in the system without completely understanding its usability and proper planning.
Plus, they don’t know its impact on the granular user activity requirements essential to streamline a workflow. Some of them don’t understand application and data storage interaction. Some leaders only use low-code to increase their productivity without even knowing their customers’ expectations. This poor understanding of them documented over 70% of program transformation failure rates globally.
Thus, it is recommended that all companies map their process graph first before jumping into the development initiation.
The Importance of Process Intelligence In the Success of Low-Code Development and RPA:
We all know that anyone can access the low-code and leverage the infrastructure. Still, process intelligence came as the most significant helping hand by allowing it to use its ability across the enterprise. However, achieving the necessary level of process intelligence to run low-code is a complicated procedure.
Process intelligence is also crucial for achieving RPA. Although the probability of success is much higher when it comes to low-code. RPA has provided better positive results in reduced time-to-market in the early stage. Still, when it comes to scaling for a more considerable development, it has started to struggle to deploy more than usual products(bots).
The process intelligence and low-code help to solve all RPA process-related questions. This remarkable combination of process intelligence and low code has created an opportunity to achieve artificial intelligence and process automation.
Low-Code is a More deserving Option:
In terms of scalability, the low code is a better option than RPA development. As it does not depend on the UI layer that makes its products more efficient. Contrary to RPA, low-code is more capable of handling granular and main process level activities. It makes it a more valuable investment for organizations. Low-code integration with process intelligence takes enterprises towards the digital revolution with a faster, better, flexible, and cheaper operation model.
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