Today, enterprises benefit widely by leveraging test automation to get faster releases, improve product quality, enhance productivity, and have a quicker ROI. While many other businesses are leveraging Robotic Process Automation (RPA) to automate their business processes, free up resources, improve operational efficiency and reduce manual tasks. So effectively, RPA and test automation are the two strong pillars that businesses leverage to add on many benefits. But both have many differences with respect to their primary objectives, which have been detailed in this blog.

Test Automation and RPA functional overview

Test automation is the process that involves the usage of automation tools (Open source and Commercial) to develop test scripts based on use cases, help maintain test cases, execute them and finally analyze the test results. Software test automation ensures faster releases as processes are automated without much manual interference and delivers quality releases.

RPA is best suited for enterprise business process automation to improve the operational efficiency of the processes as bots are employed instead of humans. The wider adoption of RPA can be attributed to increased efficiency with minimal human intervention as a software bot is trained to perform tasks and interprets actions seamlessly.

An overview of Test automation

Software test automation is an important aspect of DevOps-driven projects that facilitates continuous delivery and continuous testing. Test automation helps to assist developers and testers automate repetitive tasks to save time and increase test coverage. QA engineers use various automation tools and frameworks to validate the system’s functionality. If QA engineers were to execute these tests manually, the test results may take longer hours, be prone to errors, and might sometimes overlook bugs. Automation testing allows QA engineers to run the tests over different environments and devices repeatedly. As the QA and testing ecosystem has evolved, automation testing has become a critical aspect of quality assurance and delivers many benefits for enterprises.

1. Reduces cost:

Companies leveraging automated software testing bring down the overall cost, resource utilization, and time and lowers overall QA costs up to 60%.

2. Faster Testing:

Automated testing needs little to no human intervention. Once set up, multiple tests may be executed at once, and teams can have detailed reports in less time and reduce QA cycle times by 80%

3. Faster feedback cycle:

Using test automation tools, QA engineers can provide feedback to the DevOps department faster and enhance the overall efficiency.

4. Faster time-to-market:

As the testing process is automated, automation engineers have more time to create better and more in-depth tests that increase the test coverage. Thus, time is saved with continuous testing, leading to shorter product launches and invariably results in faster time-to-market.

5. Larger Test Coverage:

An overview of RPA

RPA is the process of imitating an end-user on the app or software and performing the same tasks automatically. Artificial Intelligence and Machine Learning algorithms are implemented for the process, which learns the patterns from the actions of the users. RPA is achieved when bots with custom and diverse capabilities, adapt as per the user actions are then convert them into actions. These actions are then executed when required and without the user. Organizations use RPA due to its wide range of business benefits.

1. Operational efficiency:

RPA bots do not need a break and can work 24/7 and 365 days a year

2. Time-efficient:

RPA-based bots are highly efficient in bringing down the time taken to complete the designated tasks

3. Accuracy in results:

RPA bots deliver with a high accuracy rate and work without fatigue like any other machine-led tasks

4. Cost-effective:

RPA can reduce operational costs by automating key IT processes

5. Secure and reliable:

In the case of RPA, information is exchanged through secure paths. Hence, the chances of any data leakage or security breaches are minimal

6. Data and analytics:

Analytical data offered by RPA is error-free and can be considered for future business planning

7. Optimal Resource Utilization:

Some Use Cases of Test Automation

Banking

• Authenticate customer login through both valid and invalid data

• Ensure that the user can update the balance and make deposits into the new account

• Verify that authentication works as expected and users are redirected to the dashboard

• Ensure all the links of different modules are functional

Insurance

• Ensure that customers can enroll in the policy benefits

• Verify that the application or software can make changes to the customer’s details and that the same is updated in the database

• Verify that users can cancel the policy

• Ensure that users can make payments through all modes like NEFT, Cheque method, etc.

• Verify that the claims are settled successfully.

Healthcare

• Ensure that members can be enrolled, reinstated and terminated.

• Verify that the correct details like account number or address are chosen for a member, service provider, and broker.

• Since healthcare apps generate reports across different formats such as HTML, PDF, and text, verify that the report is easily accessible to the respective users.

Some Use Cases of RPA

Banking

• Optimize critical processes such as replacement of lost or stolen cards, charge processing billing and payments, and blocking cards on customer requests

• Automate the regular operations of the KYC process and improve security and compliance

• Improve the client verification process by fetching and displaying the required customer service documents on a single screen

Insurance

• Verify the NCB slab by referring to the status from previous policies

• Collect data from all the necessary sources to process claims at a faster pace

• Read and process data for details and update the database regularly

Healthcare

• Schedule patient and doctor appointments

• Collect data from each stakeholder and strengthen collaboration between internal and external stakeholders. Centralize the process to perform efficient auto-billing that promotes cost and time savings.

• Ensure the overall system is compliant with all the industry standards by identifying and removing the exceptions using bots

• Optimize claims processing by tracing and auditing payments using simplified bots

RPA vs Test Automation – Key Differences

The following table compares RPA vs Test automation. It will help in understanding how these two technologies differ from each other.

Conclusion

Test automation and RPA are used by enterprises to ensure faster and quality releases and automate business processes, respectively. These strategies revolve around automation and may sound similar but are different based on various factors and modes of working. Test automation aims to automate the test scenarios, while RPA strives to automate the business processes. In the case of RPA, processes are automated by mimicking the tasks and actions performed by a human by leveraging AI and ML. Further, test automation works on test scripts created over strict rules, focuses on different software QA and testing scenarios, and leverages various automation testing tools. Leverage test automation and RPA testing services from next-gen testing services providers for superior outcomes.

Our Test automation framework- Tx-Automate

Tx Automate framework is a modular, reusable, integrated, and compatible framework with new components which can be easily accommodated without affecting existing components. The Tx-Automate architecture has BDD Framework, Plug & Play Framework mode, Test Management, Bug Tracking, Test Libraries, Browser Support, and Code Quality Checks.

Business benefits:

• Shorter design time: Over 40% reduction in test design time using pre-automated test scripts

• Reduced maintenance costs: Over 20% reduction in maintenance costs due to reusability of the framework across multiple applications

• Faster time to market: Up to 90% reduction in cycle time and improved test execution productivity leading to an overall 10% reduction in time to market

• Better decision making: Improved visibility due to comprehensive test reporting allows for more accurate strategic decisions

• Consistency of automation across the organization: Consistent and standardized automation across the enterprise results in better efficiency and utilization of resources

• Higher development productivity: Enabling process automation and suite integration within the development cycle, leading to better productivity

• Single framework with the capability to automate Web, Mobile applications, and APIs

Our UiPath RPA Framework (Tx Robot-led Test Automation Framework Powered by UiPath)

Important Features:

• DevOps ready

• Integrates with various third-party tools like JIRA, Jenkins

• Designed using Page Object Model

• Contains many components and integrations

Business Benefits

• Jumpstart automation within no time

• Loosely coupled DevOps ready framework that helps in integrating ALM Defect tracking and CI/CD tools

• Readily available libraries and reusable assets

• Accommodates new components and processes without impacting existing components

• Eliminates human-prone errors

• Robots developed with this framework are used to create complex automation test scenarios for web, mobile, desktop, and APIs

• Reduced Man hours by 90%

• Even manual testers can create test scripts using robots

The post 8 Key Differences Between Test Automation and RPA first appeared on TestingXperts.

Today’s businesses leverage technologies like Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA) for automating their tasks and other business processes. Though these next-gen technologies have helped businesses achieve their goals, as we advance, companies need to upgrade themselves by adopting Intelligent Automation(IA), which typically combines the power of AI, ML, RPA, and other advanced technologies.

Content 1. An overview of Intelligent Automation 2. Differences of Intelligent Automation with RPA and Hyperautomation 3. Why should businesses leverage Intelligent Automation? 4. How Intelligent Automation is transforming the BFSI industry? 5. An overview of Intelligent Automation Testing types 6. Conclusion

An overview of Intelligent Automation

Intelligent Automation, also known as cognitive automation combines advanced technologies like: – RPA, – BPM, – AI, – ML, – Analytics, – OCR, – ICR, – Process mining to create end-to-end business processes that think, learn, and adapt on their own. Moreover, this intelligent automation accelerates digital transformation, automates repetitive tasks, ensures freeing up resources, improves operational efficiency, and effectively simplifies various business processes.

Differences of Intelligent Automation with RPA and Hyperautomation

Why should businesses leverage Intelligent Automation?

Streamlines back-office processes and increases efficiency:

Intelligent automation can speed up business processes and streamline tasks per business needs, ultimately increasing process efficiency.

Improves customer service:

This technology helps businesses get real-time access to customer information, accelerate the resolution of customer requests, and help identify additional product/service needs.

Frees-up employees for higher-value work:

Improves governance and fraud detection:

Interprets big data:

Helps in decision-making:

Reduces cost & saves time:

How Intelligent Automation is transforming the BFSI industry?

Intelligent automation is now leveraged across industries and impacts the BFSI sector significantly. Since the BFSI sector plays a vital role in the economy, there is constant pressure on BFSI institutions to improve business performance and lower operational costs. Due to the complexities of data, increased regulatory scrutiny, back-office inefficiencies, and outdated legacy systems, the BFSI sector faces many challenges. The BFSI sector needs to leverage intelligent automation testing to overcome these challenges. This technology helps BFSI institutions reduce costs, boost overall business performance, and deliver a great experience to employees and customers.

1. Banking Sector:

• Frees up banking team for higher-value work: Employees in banks have to regularly deal with repetitive and time-consuming tasks such as entering customer details, KYC process, etc. But, with the help of IA, various tasks can be automated and completed with much accuracy and at a faster pace. This frees up employees and allows them to focus on other high-value tasks.

• Allows customers to open a bank account remotely: Gone are the days when customers need to visit the bank to open bank accounts. But, now, with IA in place, customers can open their accounts remotely. Customers need to complete online KYC, submit required documents, fill in the necessary details and open their accounts in no time.

• Eases general ledger: Banking employees have to regularly maintain and update the ledger daily, a time-consuming and critical task. With the help of IA, banks can collect, update and validate large amounts of information from multiple sources faster and more effectively.

2. Finance Sector:

• Eases the application validation process: Employees working in the finance department have to manually validate applications that consume a lot of time and effort. But with IA technologies such as OCR, NLP, Intelligent Document Processing (IDP), etc., documents can be automatically processed easily in no time.

• Helps in detecting fraudulent activities: IA solutions can continuously monitor real-time transactions and can analyze the patterns of these transactions that help in detecting fraudulent activities such as anti-money laundering, frequent deposits of large amounts, frequent withdrawals, etc. It can also alert the concerned party and help prevent financial fraud in Fintech businesses.

• Eases financial audits: Finance audits are very complex and involve evaluating financial statements, tax calculations, checking amounts payable, and more. With IA, these tasks can be effectively automated, and chances of human-prone errors can be removed.

3. Insurance Sector:

• Makes credit risk assessment accurate and reliable: IA in the insurance sector plays an important role. This technology can intelligently screen prospective borrowers and assign them a risk score based on their ability to repay loan amounts. This process further helps various institutions to make an informed decision regarding credit/loan approval/rejection.

• Ensures faster claim processing: Claim processing is a complex and time-consuming task. Typically, insurance agents need several days to gather data and process claims. But with the help of IA, claim processing and even settlements can be done faster and more effectively without any risk or manual errors.

• Provides intelligent insights: IA tracks and records customer journey and makes insightful recommendations to suggest policies suitable to customer needs based on these recommendations. This further helps customers to manage their insurance money better and ultimately enhances the customer experience (CX)

Other industries where Intelligent Automation is making an impact

1. eCommerce:

• IA utilizes the power of AI technology that records the customer data and their shopping journey and makes recommendations each time customers visit the site for shopping.

• It helps businesses to make decisions about procurement by predicting demand and supply.

• It also enables seamless checkout with their shopping carts while smart algorithms calculate the amount to be charged and ensure seamless transactions to users.

2. Manufacturing:

• Physical and digital robots driven by IA are used to perform various tasks and replace/supplement humans in the manufacturing sector.

• Digital bots help manufacturers process a large amount of data and streamline the ordering process, procurement, appointment scheduling, and alerting.

• It also enables predictive analytics, utilizes machine vision technology, and enables quality inspection that is much more reliable and detailed than humans.

3. Logistics and Transportation

• IA helps truck drivers find the fastest and most cost-efficient routes by utilizing the power of analytics and predictive insights.

• IA has made the concept of self-driving cars into reality, and even drone delivery has been made possible due to the AI technology behind IA.

4. Healthcare

• The healthcare industry is rapidly using AI and RPA technology that goes behind IA to provide better patient outcomes and services.

• AI-powered chatbots are used to make appointments with doctors and provide online consultations.

• Intelligent bots are used to perform surgeries on the head, neck, eye, etc.

• Advanced AI technologies are being leveraged to enable accurate analysis of medical images, such as CT scans, MRIs, and X-rays, which significantly reduce the chances of human error.

5. Telecom

• The Telecom sector has always been data-intensive, and IA helps manage large amounts of data effectively.

• Automated call centers powered by advanced technologies reduce wait time for customers, accelerate the customer query resolution process and enhance the CX.

• IA also helps telecom service providers improve the quality of their network operations by automating the testing, addressing, remediation, and maintenance procedures.

• Intelligent Automation plays a major role across industries and AI-powered apps and solutions must be properly tested to ensure greater outcomes for businesses.

An overview of Intelligent Automation Testing types

UiPath Test Suite based Test Automation:

AI Testing:

AI-Based testing:

RPA Testing:

Conclusion

Intelligent Automation driven by cognitive and digital capabilities is changing the future of all industries, especially for the banking, financial, and insurance sectors. This technology is one of the significant drivers accelerating business growth and ensures a great customer experience. The combination of AI and RPA’s strength in the form of Intelligent Automation is helping businesses improve the quality, speed, and productivity of processes. While some businesses have already realized its importance, others need to adopt it. If you are an enterprise looking for intelligent automation testing, TestingXperts (Tx) can be your one-stop solution.

Tx is a proud partner of UiPath and has been providing UiPath process automation leveraging various UiPath tools to speed up the testing process. Our teams have hands-on experience with the UiPath test suite and provide next-gen intelligent automation testing services to clients across industry domains. We also have an in-house AI-enabled comprehensive platform – Tx-SmarTest that systematically caters to faster releases enabled with DevOps CI/CD implementation. This platform significantly helps boost the software quality through production, which is enabled by combining AI, ML, Deep Learning, and Neural network algorithms.

The post How Intelligent Automation Is Transforming The BFSI Industry first appeared on TestingXperts.

Content 1. An Introduction to RPA 2. Core Advantages of RPA technology 3. Benefits for businesses leveraging RPA 4. Some important RPA use cases across major industries 5. Why is RPA testing essential for businesses today?   5.1 Some of the main reasons for businesses to take up RPA testing include   5.2 Some of the Best Practices to Follow for Effective RPA Testing   5.3 Some of the leading RPA automation tools to look in 2021 6. Key advantages with UiPath Test Suite 7. The superiority of UiPath Test Suite – Features and Differentiators 8. TestingXperts developed a Robot-led Test Automation Framework powered by UiPath Test Suite 9. Conclusion

An Introduction to RPA

Robotic Process Automation (RPA) is the latest technology adopted by businesses wherein software robots perform various repetitive business tasks. Typically, these bots interact with multiple modes of SaaS applications and IT systems and automate the rule-based manual tasks that are repetitive and transactional. RPA technology helps organizations and businesses to ease manual tasks and improves the business’s operational efficiency. This technology is undoubtedly the future go-to technology for digital companies, which require seamless operations in one go.

In recent years, automation has changed many aspects of businesses, and RPA technology has gained more traction. This technology plays a significant role in transforming tedious human tasks into robotically automated tasks with software bots while freeing human resources to perform other high-end tasks. These bots streamline many business processes and do not need any coding experience to operate them as they mimic human behaviour. Software bots can easily be integrated into the existing business processes. These bots can navigate enterprise software such as ERP systems, service management tools, other software solutions, etc.

RPA is emerging as a disruptive technology across industries and is helping to speed up an organization’s digital moves in a great way. RPA technology eases digital transformation significantly and brings quicker ROI with improved operational efficiency.

Core Advantages of RPA technology

•  Technology supports all repetitive business processes to streamline them using software bots

•  RPA can be applied for both products and business processes

•  This technology can be used in a variety of software environments, and the bots help in freeing up human resources

•  100% reliable solution as bots can operate anytime, anywhere and work with the highest precision

•  The software bots can be considered as a digital workforce that can interact with any system or application

•  These bots are easy to set up and don’t need any special coding skills

Recent stats on RPA market trends by leading analysts

✓ According to Grandviewresearch, “The global robotic process automation market size was valued at USD 1.57 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 32.8% from 2021 to 2028.”

✓ According to Statista, “Robotic process automation market revenues are expected to eclipse 2.9 billion U.S. dollars worldwide in 2020. Forecasts predict continued growth in the coming years with a market value set to reach more than then billion by 2023.”

✓ According to MarketsandMarkets, the “Robotic Process Automation (RPA) Marketis estimated to reach USD 2,467.0 million by 2022, at a CAGR of 30.14% between 2017 and 2022.”

✓ According to FortuneBusinessInsights, “The RPA market is projected to grow from USD 1.61B in 2021 to USD 7.64 B in 2028 at a CAGR of 25.0% in the forecast period of 2021-2028. The rise in CAGR is attributed to this market’s demand and growth.

Benefits for businesses leveraging RPA

Business-wise Benefits

•  Improves businesses operational efficiency

•  Helps in driving business agility

•  Adds cognitive intelligence to the enterprise

•  Improves customer experience significantly

•  Reduces compliance risks and simplifies audit trials with digital log files

•  Bots are more reliable and accurate while performing tasks

•  Frees up manual resources as processes are automated with software bots

•  Enhances internal resource utilization

•  Bots are easy to configure with no code or low code usage

•  Ensures better control over repetitive business processes

•  Accelerates business processes endlessly

Cost-wise benefits

•  Improves business scalability

•  Enhances customer experience with better and seamless services

•  Lowers operational risks as bots perform tasks flawlessly

•  Increases business productivity and efficiency greatly

•  Delivers better business insights and analytics

•  Delivers quicker and better ROI as manual processes are automated

•  Provides significant cost savings as a minimal workforce is required

Some important RPA use cases across major industries

Telecom:

• Automating back-office operations
• Call resolutions
• Quicker resolution of customer tickets
• Classifying disputes
• Porting customer numbers
• SIM swapping

Banking

• Credit card bill settlements
• Loan processing
• Data entry at primary level
• Mortgage remediation
•   KYC processing
• Processing customer queries
• Fraud detection

Insurance

• Processing customer queries
•  Invoice processing
• Claim processing
• Underwriting
• Form registrations
• Premium renewals

Retail

• Customer support management
• Returns processing
• Accounting and finance
• Payroll management
• Call centre outsourcing
• Employee onboarding
• Work order management

Inventory management

• Stock keeping
• Low stock levels

Manufacturing

• Inventory management
• Stock level displays

Healthcare

• Patient appointment scheduling
• Doctor availability
• Doctor appointment
• Drug discovery
• Early disease diagnosis

Finance & accounting

• Invoice processing
• Vendor
• Customer invoicing
• Account management
• Payroll accounting

Human Resource (HR)

• Payroll automation
• Recruitment administration
• Employee onboarding
• Prospect outsourcing

Why is RPA testing essential for businesses today?

From the above RPA use cases, the importance of RPA across various industries is evident. Today, businesses across different industry sectors adopt and use RPA in their business processes. These software bots should perform seamlessly for enterprises to achieve operational efficiency and quicker ROI. Eventually, an effective RPA testing process is necessary to ensure seamless RPA implementations.

Some of the main reasons for businesses to take up RPA testing include:

• Bots have to be tested thoroughly to ensure they handle repetitive and rule-based digital tasks seamlessly

• These automation bots, until tested, will not be able to replace tedious clerical works to deliver an enhanced customer experience with 24×7 services

• Until these robots are validated for business processes, they cannot deliver the expected ROI

• Bots should execute on par the processes humans perform, and any change in the mimicking behaviour will make them ineffective

• Bots sometimes should handle high volumes of data and need to be tested using the latest automation tools to enable a great customer experience

• Until the bots are tested, they cannot interact with the business systems as humans do

• Bots need proper evaluation before they are used to perform back-office operations

Some of the Best Practices to Follow for Effective RPA Testing:

•  Evaluate in-depth and understand the business processes

•  Develop the test scenarios with compelling use cases

•  Develop the test scripts

•  Test with adequate and real-time test data

•  Report the defects and ensure defect fixation

•  Deliver seamlessly and fully functioning bots

Some of the leading RPA automation tools to look in 2021

•  UiPath

•  Blue Prism

•  Automation Anywhere

Why should businesses leverage UiPath Test Suite for RPA testing?

There are many RPA automation tools in the market, but UiPath Test Suite has many features and advantages over other automation tools. UiPath Test Suite utilizes an agile approach to deliver resilient automation faster and makes your apps and robots stronger. UiPath Test Suite is easier to learn and enables to automate tests 70% faster when compared to other RPA automation tools. The UiPath Test Suite consists of UiPath Studio Pro, UiPath Test Manager, and UiPath Orchestrator.

UiPath Studio Pro is used to create automated tests and supports the creation of specialized test cases for conducting automated application and bots testing. Another important feature of Studio Pro is that RPA workflows can be converted into test cases or imported as test cases from other projects.

UiPath Test Manager is used to plan and monitor testing for various automation and helps to triage defects with requirements traceability and visual logging

UiPath Orchestrator is used to organizing, schedule and analyzes test execution through the orchestrator

Key advantages with UiPath Test Suite

•  It gives a robust testing framework and supports web-based architecture

•  Platform-independent and supports industries of all sizes

•  Supports Web-based, Windows, and Mac operating systems

•  Highly user friendly and scalable across environments (can handle any process, in any number irrespective of its complexity)

•  Eases automation testing and can be used to automate virtually any software application and business process

•  Eases testing of even legacy or virtualized apps

•  It helps to save a lot of time for testers with this its superior features when compared to other automated tools

•  Tool eases tests even with the environmental changes

•  Easily links test suites in Jenkins or other CI tools, and it becomes easy for committing the code

The superiority of UiPath Test Suite – Features and Differentiators

•  Best tool to build resilient automation faster with UiPath Studio Pro

•  Best suited to boost release velocity by integrating directly into the DevOps pipeline

•  Helps to create tests faster by using RPA developers code to get started quickly

•  The tools drag and drop feature eases its usage

•  It can be used to automate the work of three testers with one UiPath test robot

•  Ensures tests are versioned and in sync with application source code

•  No coding skills are needed to work with this tool

TestingXperts developed a Robot-led Test Automation Framework powered by UiPath Test Suite

As a trusted UiPath partner with deep expertise in Quality Engineering and Test Automation, we at TestingXperts have been part of the evolution journey of RPA powered UiPath Test Suite.

TestingXperts Test Automation Framework powered by UiPath uses the hybrid model design principle & contains the below components/integrations:

•  GitHub [code repository]

•  Continuous Integration (CI) [Jenkins & Azure Devops]

•  Orchestrator [Manage robots]

•  BrowserStack Integration [For iOS mobile Automation]

•  Data Layer [Excel, JSON]

•  Test Manager

•  UiPath Insights

•  Utilities [Wrapper XAML files to handle typical test automation issues]

•  Reporting in the following formats:

Below are the key metrics we found in terms of value and improvements in test automation, UiPath Test Suite brings:

For more information on this framework, read this blog: https://www.testingxperts.com/blog/Robot-led-Test-Automation

Conclusion

Robotic process automation is one of the latest technologies today by businesses to manage business operations using software bots. These bots manage customer-focused and repeatable back-end business processes. These software bots save the time of in-house resources and free up resources that can be used for more intensive and valuable works. There are many use cases of RPA, which reflects the versatility and the need for modern automation leveraging RPA technology across industries. Thus, by leveraging RPA technology, businesses get many benefits such as reduced costs, improved operational efficiency, and by and large, it has become a necessity to speed up a business’s digital transformation today. But, for these software bots to perform seamlessly, leverage the services of a next-gen RPA testing services provider to get fully functional and flawless RPA solutions.

The post RPA Testing Leveraging UiPath Test Suite first appeared on TestingXperts.

Content 1.  What is RPA? 2.  RPA market overview by leading research analysts 3.  7 Significant benefits for businesses leveraging RPA 4.  Some of the important RPA use cases in different Industries 5.  Conclusion 6.  TestingXperts Expertise with RPA Testing

What is RPA?

Robotic Process Automation (RPA) is the latest buzzword in the world of information technology and also for businesses today. RPA is software that automates basic tasks with bots. It is used to train software to perform routine tasks and is helping enterprises of all sizes by improving their business efficiency.

This robotic process automation technology consists of a process to leverage software bots to perform repetitive human mundane tasks and subsequently free-up human resources to take up other important customer-focused tasks. Typically, these bots help businesses to intelligently automate repetitive and time-consuming processes, accelerate time-to-value, reduce human error, increase throughput and greatly improve their business process efficiency.

RPA which has been aptly named as a form of business process automation helps save costs in a significant way for businesses. Typically, bots are being used for simplifying and automating repetitive tasks such as sorting emails, answering customer queries, document recognitions, handling repetitive data entry tasks, etc. Therefore, Robotic automation tools continue to play an important role in today’s businesses and various research analysts have predicted more boom for this technology in the coming years which has been embedded below.

RPA market overview by leading research analysts

According to Fortune Business Insights, the global robotic process automation market is estimated to reach USD 50.50 billion by 2030 and is expected to grow at 20.3%. The rising demand for automation of redundant tasks in the business process coupled with Artificial Intelligence (AI) and Machine Learning (ML) enhancements is expected to drive the market growth.” Most of the CXOs across the globe are adopting this technology for saving costs and for improving their business efficiency using these bots.

It is also said that the combination of AI, ML and cognitive technologies along with the RPA market is expected to shape the forthcoming business environment significantly. Moreover, organizations across the domains of healthcare, insurance, banking, etc. are reaping immense benefits from implementing RPA.

According to MarketsandMarkets, “Robotic Process Automation Market is estimated to reach USD 2,467.0M by 2022, at a CAGR of 30.14% between 2017 and 2022.” According to a CIO report, more CIOs are turning to robotic process automation to eliminate tedious tasks, free-up humans, automate most of their business processes and enabling personnel to serve customers taking up a more higher-value work than performing the earlier repetitive works.

According to Businesswire, “The global robotic process automation market size is expected to reach USD 25.66B by 2027, expanding at a CAGR of 40.6% over the forecast period (2020-2027).” According to Globenewswire, its research predicts that this market is expected to grow at 33% CAGR and likely to hit USD 6.22 B by 2025.

Interestingly, key takeaways from the above research analysts states that RPA market has been expanding in leaps and bounds in the last five years and will be expanding in the coming years. This technology helps businesses achieve and maintain a competitive advantage in their respective industry sector.

Analysts have also stated that organizations that implement robotic process automation will soon outplace those who still depend on human resources for performing all activities. Moreover, this effective robotic automation is also an important aspect of digital transformation which is changing the way businesses operate today. Hence, leveraging this automation software (bots) is bound to deliver numerous benefits to businesses of all sizes which has been detailed below.

7 Significant benefits for businesses leveraging RPA

Delivers improved customer experience:

By deploying robots in place for repetitive tasks especially for answering customer queries, spontaneously customers get quick responses to their queries, and this process improves greatly the customer experience(CX). These bots can be successfully leveraged in many other process areas to improve the CX. Moreover, as tasks are automated, human resources are freed up and will be able to handle other critical tasks.

Reduces human efforts largely:

Typically, deploying RPA frees up high-valued human resources and their physical efforts due to robots in place. Thus, human intervention is also largely reduced as automated bots take hold of performing repetitive and tedious tasks.

Ensures cost-effectiveness:

RPA is the most sought-after technology today, as it helps to reduce costs to the extent of even 30-35% as tasks are automated using bots. This helps to reduce the costs that were earlier spent on performing non-productive and repetitive tasks to a large extent.

Delivers undefeatable operations accuracy:

Human power has certain limitations and cannot always give quality results due to either loss of attention or mistakes during handling repetitive processes. But, on the other hand, robots once defined, developed, and deployed, can deliver limitless work without any distractions or tiredness and deliver the results the same way every time.

Reduces response time to security threats:

Businesses can use robotics to reduce response times significantly to security threats and automatically deploy security controls whenever vulnerabilities are detected. It is interesting to note that RPA implementation can limit access to app or system credentials and databases, and keeps track of tasks & workflows, and also has a marking of all activities accurate time stamp. Further, these robots help to stay secure while seamlessly executing business tasks.

Reduces overall cycle time:

To accomplish any task, humans would require some time involvement, while if the same task is handled by robots, they reduce the overall cycle time to perform the same task. If a human performs a task in some ‘x’ time, then using robots, the same task can be achieved in much lesser ‘<x’ time, thus reducing the overall cycle to perform that particular task.

Delivers effective insights and analytics:

By using bots in businesses, the software helps to gather, organize, analyze, and store valuable data and insights. Businesses can draw large patterns from this accumulated data and helps management to better draft policies, correct issues, and deliver best practices to their customers. These robotic process automated bots help to quicken ongoing decision-making and make it fast, accurate, and predictive with effective analytics embedded and delivered.

RPA has its dominance in today’s businesses and is leveraged across all industries to deliver seamless services to customers more effectively and seamlessly.

Some of the important RPA use cases in different Industries

1. RPA in Healthcare:

The healthcare industry has witnessed a huge load due to the pandemic, but leveraging these software bots helps healthcare businesses to extract and optimize patient data effortlessly. These bots also help in streamlining the claims by speeding up the data processing enabling effective results. Some of the other areas where these bots can be used in healthcare include managing inventory, scheduling patient and doctor appointments, digitizing patient health records, etc.

2. RPA in Banking & Finance:

Innovatively, RPA bots can also be used in the banking sector. These robots are leveraged to perform and handle processes such as customer queries answering, KYC processes handling, general ledger operations, fraud detection, compliance management, mortgage processing, etc.

3. RPA in Insurance:

RPA bots are specifically being used to merge front-end and back-end operations in insurance companies, thus reducing human intervention. These bots can also be used for insurance processing, claims processing, new insurance policy issuances, regulatory compliance handling, etc.

4. RPA in Business Process Outsourcing (BPO):

Bots usage in BPO helps businesses to lower their operating expenses and helps them make more effective utilization of resources. Specifically, robots can work 24x7x365 with no interruption and hence productivity improves significantly as repeatable BPO tasks are automated. Bots can be leveraged to perform back-office operations seamlessly as they are mostly rule-based and efficiently handled by bots. Further, some of the tasks for which RPA bots can be used in the BPO industry are data entry, data extraction, CRM updates, scorecard updates, report generation, data analysis, etc.

5. RPA in Customer Service:

Specifically, RPA is going to change the way businesses deal with their customers. A survey says that 90% of employees are overburdened with menial tasks which can be easily automated to save time, effort and money. For businesses dealing with customer complaints manually to date, can effectively install an RPA bot that is programmed to sort and process the information of the customer and subsequently solve their queries based on the pre-determined course of action. In this way, customers get their queries answered quickly by automated bots and this process improves CX.

6. RPA in Human Resources:

Interestingly, bots free up HR departments from repetitive works and help to automate processes. These robots help to automate many of the HR processes and some of them include simplifying payroll, augmenting the workforce, streamlining talent acquisition, employee onboarding, thus ensuring enhanced employee experience. These bots free-up the HR resources that can be used for other important tasks. These bots can also be used to reduce the amount of paperwork by allowing employees to onboard with digital documents and helps reduce HR efforts significantly.

7.  RPA in legal case management:

These bots are being leveraged by law firms to change the way they work. Critical mundane law clerk tasks are automated to help them focus on other works, and these bots are used as virtual legal assistants, contract management, E-filing, compliance and risk management, etc. Evidently, humans or legal clerks or assistants can attend to the actual need of customers to improve customer satisfaction.

8. RPA in Travel and Transportation:

RPA bots are leveraged in the travel industry for ticketing, cancellations, and exchanges, ticket refunds, invoicing, MIS and analytics, etc. Leveraging this technology and software helps with improving the travel industry’s overall operational efficiency. By using this robotic process automation, travel businesses are bound to deliver improved customer experience and moreover helps them to manage various operations seamlessly, quickly and effortlessly.

Conclusion

Robotic process automation is the technology wherein software bots are used to perform time-consuming and repetitive tasks that consume a lot of human effort and time. By automating repetitive tasks using robots, it frees up human resources and helps businesses to improve their overall business processes. As human resources are freed-up, can be used to perform any other customer-related or any other creative tasks based on the need. Moreover, by leveraging RPA bots, businesses across industries get many benefits. But, for the seamless functioning of your RPA bot to deliver unparalleled results, RPA testing should be adopted by businesses leveraging next-gen testing service providers to get fully-functional RPA bots based on your business.

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The post Role of RPA and Major Industry-wise Use Cases for Businesses in 2023 first appeared on TestingXperts.