RPA.pptx
- 2. Table of Contents • RPA • What is RPA • Evolution of RPA • Benifits of RPA • Features of RPA • RPA Use Cases/Applications • RPA Architecture • RPA LifeCyce & Work Flow • What to look for in RPA software • RPA Growth • RPA Future
- 4. What is RPA ? ⚫ RPA stands for Robotic Process Automation. It is the technology used for software tools that automate human tasks, which are manual, rule-based, or repetitive. ⚫ RPA technology creates software programs or bots that can log into applications, enter data, calculate and complete tasks, and copy data between applications or workflow as required. ⚫ RPA is growing in popularity because it can reduce costs, streamline processing and drive better customer experiences. ⚫ Robotic Process Automation software bots can interact with any application or system the same way people do—except that RPA bots can operate around the clock, nonstop, much faster and with 100% reliability and precision.
- 5. Evolution of RPA Screen Scrapping Work Flow Automation Artificial Intelligence Screen Scraping technology is considered as a significant step towards the creation of RPA. This technology is used to extract data from web, programs, and documents, which is further displayed by another application. Workflow automation is the process that includes a series of automated actions, which helps in reducing the human task. These actions must be repetitive so that their steps are predictable. Such actions can be automated by using automated management tools. Artificial intelligence is the ability of computer machines or robots to perform tasks that typically require human intelligence. AI programming is based on three techniques: learning, reasoning, and self-correction. The applications for artificial intelligence are endless and can be applied to many different sectors.
- 7. Features of RPA 1. Rich-analytical Suite RPA software comes with a rich-analytical suite that discovers the performance of the robot workforce. The detailed operation analysis not only enables the users to track the operations and determine issues but it supports with streamlining future workloads. 2. Security If an organization runs on automation, an abundant number of users will likely demand access to the RPA product. Here, it is crucial to have strong user access management features. Therefore, RPA tools include role-based security capability to ensure action specific permissions. And capabilities for securing certain data types to defend against the interruption of network communication. 3. Simple Bot Creation Interface RPA tools allow creating bots quickly and effortlessly by capturing mouse click and keystrokes with built-in screen recorder components. Many RPA products include the option to create and edit bots manually using the Task Editor.
- 8. 4. Source Control The method enables secure storage of each version of a process in progress without the risk of being deleted. The source control method enables developers to examine the difference between versions of a certain process to discover what has changed. Likewise, the control room component in some RPA products allows scheduling bots, handling bot’s versions and maintaining a log of user & bot activities. 5. Hosting and Deployment Option The RPA system is designed to offer a customer deployment across virtual machines, terminal services, and cloud. Adding to this, the RPA system is powerful enough to automatically deploy robots in groups of hundreds.Therefore,businesses can install RPA tools on desktops and deploy it on servers to access data for completing repetitive tasks. 6. Rules-based Exception Handling RPA handles the exception in a proactive manner. Just consider a robot reports an exception, and then the following actions are triggered: ⚫ The server re-assigns the same process to another bot for retry as well as remove the 1st bot from production. ⚫ In case the retry is successful, the server maintains the reassignment and raises a level 2 alert to report exception & resolution. ⚫ If the retry is unsuccessful, it stops the 2ndbot and raises a level 1 alert to report exception as well as failed resolution.
- 9. The biggest benefit of RPA from a development perspective is its capability to go through a process and adjust dynamically. Some RPA tools allow dynamic interaction while debugging. It also allows changing variable values to test different scenarios without start and stop the running. 7. Debugging This dynamic approach of debugging allows to develop on the fly and to resolve issues in a production environment without requiring changes to the process. 8. Less Script or Script Less Automation The modern RPA tools are code-free and can automate any application in any department where the admin or clerical work is performed across an enterprise. Hence, the employees with less programming skills can create bots. This low-code or less code development platform reduces the amount of hand-code-writing and enables accelerated delivery of business apps. 9. Seamless Integration The core enterprise RPA integration is merging with the various 3rdparty applications in the digital infrastructure of businesses. With seamless integration, RPA tools provide unparalleled flexibility in evaluating the digital workforce performance. The most common integration in robotic process automation software: Microsoft Excel & Microsoft Access, Internet Explorer and Citrix
- 10. 10. Optical Character Recognition (OCR) Outlining the optical character recognition in the RPA platform becomes a new trend today. Some RPA vendors begin expanding the capability of the RPA portfolio by taping advanced OCR to include simpler data extraction from documents and images. RPA tool screen scraping is deals with capturing bitmap data from the system screen and cross-check it against stored details to decipher it. This is attained by integrating with OCR engines like Google and Microsoft. In addition to text recognition, it possesses the capability to structure data while reading structured documents. 11. Actionable Intelligence The actionable intelligence feature of the RPA refers to the ability to gain and apply knowledge as skills. Robots that obtain both structured and unstructured data converts it into information and transforms the information into actionable intelligence for the end user or customer. The AI and cognitive intelligence are the common features of RPA solutions. They can involve machine learning, computer visions, and cognitive automation to help bots improve decision making over the period.
- 11. RPA Use Cases/Applications Applications ⦾ Generating Mass Emails ⦾ Procure-to-Pay ⦾ Customer Onboarding ⦾ Data Validation ⦾ Employee Onboarding ⦾ Data Migration and Data Entry ⦾ Extracting Data from PDFs, Scanned Documents and other Formats ⦾ Price Comparison Here are some applications of RPA
- 12. RPA Architecture The architecture of Robotic Process Automation (RPA) includes several different tools, platforms, and various infrastructure elements.
- 13. ⚫ Application under Robotic Process Execution RPA is considered as a well-suited technology for enterprises and enterprise applications. Enterprise applications may include SAP, Siebel, or other record processing applications like Mainframes. Such types of applications are generally data-intensive, data-centric, and loaded with repetitive tasks. ⚫ RPA Tools ‣RPA tools allow automating a variety of applications in different environments (i.e., Desktop, Web, Citrix, etc.). ‣RPA tools allow developing software bots that can be trained by recordings, configuring, and enhancing the programming logic such as loops and conditions, etc. ‣RPA tools allow building reusable components that can be applied to multiple robots, which ensures the same time modularity, faster development, and easier maintenance. ‣RPA tools allow the reading and writing of different data sources while executing the software robots. ‣RPA tools allow building shared applications, user interface object stores, and object repositories containing object locators.
- 14. ⚫ RPA Platform RPA platform helps in scheduling, distributing, and monitoring the execution of software robots. It also provides the ability to develop meaningful insights of software bots and their execution statistics. ⚫ RPA Execution Infrastructure RPA execution infrastructure is defined as a bank containing physical or virtual lab machines that can be controlled on the basis of usage patterns. The process of scaling up or down the number of machines parallelly for automating the task can also be performed. ⚫ Configuration Management Configuration Management is used for stating the version of RPA assets as the underlying application. It helps in developing the software robots and also updating them to newer versions. It also helps in branching and merging of RPA robots since they are reusable across the libraries.
- 15. RPA LifeCycle & Work flow
- 17. What to look for in RPA software ? ⚫ Learning (Ease of use). The tool needs to be chosen in such a way that it is easy to work with, requires minimal training, is easy to understand, can be controlled easily and is adaptable enough to support fundamental automation tasks. ⚫ Speed. Enterprises should be able to design and test new robotic processes in a few hours or less, as well as optimize the bots to work quickly. ⚫ Enterprise-class. Companies should look for tools that are built from the ground up for enterprise-grade scalability, reliability, adaptability and manageability.
- 18. ⚫ Scalability.The scalability of the RPA tool has to be measured by its capability to support a large number of robots working simultaneously to execute different tasks. ⚫ Governance. Enterprises need to look at the various security and governance capabilities to help manage bot security credentials, assess any privacy issues and flag any issues. ⚫ Architecture. Before selecting a RPA tool, businesses should ensure that they have the necessary infrastructure to use the RPA solution, including abilities and competence. ⚫ Lower Operational Cost for More ROI. By automating certain business processes, you can enhance your total ROI. The more RPA software can reduce your overall operational expenses, the greater your ROI.
- 19. RPA Tools The top 3 trending tools of RPA are: 1. Ui Path– Ui Path is easily the most popular tool amongst all three tools. This is because it provides an environment that is completely user-friendly as it has a simple visual designer. Employees need not have high programming skills to learn this tool. Also, this tool provides a trial version as well as a community version for your personal use. 2. Blue Prism– While Blue Prism does not offer a trial version, it is very easy to learn. This is because, Blue Prism also has a visual designer that is extremely user-friendly i.e., very little programming skills are required to learn this tool. 3. Automation Anywhere– Probably not as popular the other two, but, Automation Anywhere offers a trial version of the tool. This tool is developer-friendly and requires very high programming skills to learn.
- 21. RPA Growth In recent years concepts like Industry 4.0 and Business 3.0 strongly appeared in mainstream awareness. Software robots are becoming a significant part of it, making Robotic Process Automation (RPA) one of the fastest-growing global markets. COVID-19 and the transition to remote work made around 76% of organizations reach for automation, and this is a trend that will continue in the post-covid era. In the opinion of experts and available research, RPA is becoming an inseparable part of business and even a necessity. Companies worldwide see RPA more as an inherent part of their ventures than a cost generator, adopting this technology faster than ever. However, as RPA solutions become more mature and one of the crucial elements in enterprise development, smaller companies, are also beginning to see the benefits of task automation.
- 22. RPA Future Smarter RPA complemented by AI. We already see a surge of interest in the new technology combining RPA and artificial intelligence: Intelligent Automation (IA). Widespread adoption of automation. Despite fears of automation and its effects on jobs, the acceptance of RPA technology in business is likely to continue growing as more organizations reap the fruits of successful implementation of RPA and AI technologies. McKinsey report has estimated that by 2025, RPA will have a major economic impact of nearly $6.7 trillion. Market Research Future (MRFR) predicts with the precision that many industries will reap the benefits of RPA and it is estimated that there will be a confirm rise for the RPA market
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