In today’s fast-paced global business environment, process automation has become the need of the hour. Automation, when paired with advanced technologies like artificial intelligence, machine learning, and robotics, can play a vital role in transforming businesses and delivering best-in-class products and services to end customers. 

Yet, the dependence on legacy systems and manual efforts makes it difficult for organizations to keep up with changing business needs and market fluctuations. Read on to learn more about the challenges organizations face in their day-to-day operations and how Power Apps helps overcome them via intelligent automation. 

Common Business Challenges

As businesses look to compete in today’s volatile business environment, they come face-to-face with many challenges that restrict them from achieving their goals.  

The Business Case for PowerApps

Automation seems to be the first solution organizations embrace to solve business problems, streamline processes, and enhance decision-making. But in today’s era of volatility and change, simple automation tools are not enough. These tools need to be combined with advanced AI and ML technologies to deliver true business value. 

Microsoft Power Apps empowers users to build and leverage apps using the power of AI. As an intelligent automation tool, it allows users to make use of low-code/no-code capabilities and build the apps they need, regardless of their coding capability. By enabling organizations of all types and sizes to quickly build custom applications, Power Apps aids in the automation of workflows, driving high levels of agility, efficiency, and innovation in a fast-paced digital environment. 

Power Apps’ AI-enabled development, low-code capabilities, and enterprise-grade governance allow organizations to: 

Streamlining Power Apps Implementation – The Role of a Partner 

Power Apps can help overcome many of the challenges organizations face daily. However, like any other technology implementation, there are many things to keep in mind while embracing Power Apps: 

Successful Power Apps adoption requires the right approach and skill sets. A qualified partner can streamline the implementation process, allowing for long-term business benefits. 

With a Power Apps partner in tow, organizations can: 

As businesses drive efforts in enabling intelligent automation across various processes, Power Apps paves the way for high levels of efficiency, reliability, and agility. Although Power Apps allows organizations to solve business problems, streamline processes, automate tasks, and enhance decision-making, an implementation partner can provide vital guidance and tips for the best results. 

Learn how InovarTech can help you create true business value with automation!   

With every progressive step of technological advancements, the priorities of CIOs are also changing. Process transformation and automation have gained much of leaders’ attention in recent times. Automation, the use of machines to perform work, most commonly refers to using the use of computer technologies to perform the tasks humans would otherwise do as part of their jobs. The use of computer-based process automation is widespread, with organizations deploying a broad range of software automation tools to help them reach the automation goals they set as part of their larger digital transformation objectives.

According to the December 2020 Global Intelligent Automation (intelligence AI) Study from Deloitte, *73% of organizations worldwide use automation technologies. That’s a significant increase from the *58% of organizations using such technologies in 2019. Gartner reported that organizations’ interest in a process of transformation is accelerating, demand for robotic process automation (RPA) software witnessing the growth of **19.5% from 2020.

But, RPA is not the only process automation technology that companies are leveraging to drive goals, efficiency, and digital transformation. The diversified business sector embraces certain other automation options such as business process automation (BPA) and digital process automation (DPA). Each of the three technologies offers benefits, and each has distinctions that separate it from the others.
What is robotic process automation (RPA)?

RPA technology mimics the way humans interact with software via a UI to perform high-volume, repetitive tasks. The technology creates software programs, or bots, that can log in to applications, enter data, calculate, and complete tasks, and copy data between applications or workflows as required. But RPA doesn’t inherently have intelligence or decision-making capabilities. Hence, the work best suited to RPA is rules-based. These are discrete tasks done the same way over and over, with no deviations that require human decision-making. According to Gartner, RPA represents a major portion of the automation market. Experts believe that the primary benefits of RPA are increased efficiency, lower costs, and reduced errors. RPA bots can perform tasks faster and with consistent accuracy and reliability. They can work round-the-clock without taking breaks.

Another reason for RPA’s growing popularity in the enterprise is its relative ease of use. RPA works with an organization’s existing infrastructure and applications. Also, because many vendors offer low-code/no-code RPA platforms that require little to no programming experience, business users can harness RPA, creating their own bots with minimal help from their IT departments. As such, business users are driving much of the RPA adoption.

What is digital process automation (DPA)?

DPA is a software technology used to automate a process and optimize the workflow within an automated process. A big focus of DPA is to improve employee and customer experiences by taking friction out of the workflow. The software is used to create efficiencies and enhance UX experience in various areas of the enterprise, from IT service requests to onboarding new employees and client intake.

Organizations use DPA to automate a process from its beginning to its end. Typically, DPA is used for the longer and more complex processes than the tasks that can be effectively handled by RPA. These processes can contain multitudes of decisions that, if using RPA, would create bots that are too long and too difficult to maintain.

As per a ***Forrester schema, DPA is divided into two types: DPA-deep, and DPA-wide, which is closely related to RPA:

What is business process automation (BPA)?

BPA automates workflows within an organization; as one step in the business process is completed, the BPA software then automatically triggers the next step. BPA software is used to automate complex, multistep business processes that are usually unique to an organization and are part of the organization’s core business functions.

Size of the business process automation system (BPA) market worldwide from 2016 to 2021

BPA’s holistic approach stems from the technology’s capability to work across the multiple enterprise applications and systems required to complete a typical business process. Organizations often first analyze and improve a business process with a BPA approach before automating it, which is different from the mimic-as-is tactic typically used in RPA.

Reworked, optimized processes using BPA remove human hands from the workflow; with human workers no longer involved in the automated process, they’re not introducing individual workarounds or unauthorized changes to the workflow. Consequently, enterprises use BPA in their digital transformation efforts for the accuracy, efficiency, and reliability it brings to each automated process.

Experts Opinion on – RPA Vs BPA Vs DPA

Some experts use BPA as an umbrella term for a wide range of process automation technologies but there are varied opinions on that concern as well.

According to Gina Schaefer, intelligent automation lead at Deloitte Consulting LLP said- “DPA, BPA, and RPA — are practically interchangeable.”

She further added – “Digital, business process and robotic process automation are essentially the same. When applied appropriately, these refer to comprehensive end-to-end process automation. Specifically, these terms refer to the use of scripted automation software to mimic human actions in the execution of rules-based ‘swivel chair’ type tasks, typically where an individual accesses and processes data from multiple applications.”

difference between RPA, BPA and DPA

InovarTech is ready to improve your automation experience. With our smart forms and streamlined workflows, you will be ready to tackle process technologies and know-how to adapt them to your institution. Reach out to us today to get started. You can take comfort in the fact that we know process automation and how to implement them effectively. Let us deliver high-volume processes to your doorstep.

Resources:

*https://searchcio.techtarget.com/tip/Process-automation-technologies-evolve-RPA-vs-BPA-vs-DPA#:~:text=Another%20difference%3A%20While%20RPA%20and,as%20they%20do%20their%20work.

**https://www.information-age.com/rpa-revenue-reach-nearly-2-billion-2021-gartner-123491711/

***https://www.forrester.com/report/RPA+DPA+BPM+And+DCM+Platforms+The+Differences+You+Need+To+Know/-/E-RES145378