Let me summarize the RPA life cycle but first let's put a process in place.
Robotic Process Automation: bringing together people, processes, technology and information towards effective digital transformation.
Pillar-1: Process Mining and Opportunity assessment
Pillar-2: Business Case and Project Management
Pillar-3: Solution Design and Project Planning, Scheduling
Pillar-4: Technology Support and assessment and help
Pillar-5: Technical Delivery, Analysis, Design, Deployment Testing and QA
Pillar-6: User Acceptance, Deployment and GoTo Production
Pillar-7: Service and Support (Service Management, Handover to Service Team)
Pillar-8: Critical Success Factor and Measurement
Pillar-9: Change Management and Back to Pillar-1
Teams Involved: Business Operations, IT and Governance, Architecture Teams (ARCHITECTURE BOARD), Delivery Teams, Support Teams, Infrastructure Teams Information Security Team, Compliance and Legal Team etc.
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Would categorize the life cycle of RPA in basic 7 stages as mentioned below.
Stages of RPA Lifecycle:
I. Discovery Phase
It is the first and crucial phase of the RPA implementation roadmap that works with the combination of AI, human expertise, and technology to select the right automation process. Furthermore, it also helps in defining perfect governance for the success of the entire given procedure.
In the given phase, the requirement of the client is given more prominence and the decision is made whether to automate the process or not. If the decision is taken to automate the given process; then there is a detailed analysis of the complexity by the RPA analyst team.
Furthermore, the business team and RPA architect strategist work together to create a high-level implementation plan that helps in making their analysis more full proof. Finally, benefits associated with the automation are noted down.
II. Solution Design Phase
It is the phase where the designing of the steps to automate a given task is taken into consideration. Here, there is a lot of drafting that comes as a boon to the RPA service providers. Besides, there is a requirement of few documents that will come in handy for an effective RPA development and includes:
· Solution Design Document (SDD)
· Process Design Document (PDD)
· Technical Design Document (TDD)
The above-given document contains all the information that will be requiring the developers to process each step in depth. After analyzing all the requirements of the clients by designing a PDD, other requirements get priority and include budget, time spent, number of people currently working on the given task, and so on.
Thereafter, there is a creation of a flowchart to get an understanding of the process flow. It will, in turn, help in understanding which steps need automation and what their needs are. Afterward, the developers choose one of the best RPA software tools to automate the given task that results in developing the bot for perfect task automation.
III. Development Phase
It is the phase wherein the developer created automation scripts within the chosen RPA tools such as UiPath, Blue Prism, and many more. By following the previously developed PDD, there is a generation of bots or automation scripts.
Although in the given phase, there is no need for coding, and certain scenarios are testimonies of it. However, it might change depending on the task that is undergoing automation. Now, once there is a development of a suitable bot, the next stage is set for testing the developed bot.
IV. User Acceptance Tests (UAT)
The given stage signifies the testing of the developed bots. The given bots undergo testing in a pre-production environment so to examine their usage by the users via automation of some of the specific tasks.
Testing of the bots is conducted by some companies by the separate testing team. While many organizations have their committed testing team that performs testing using QA tests just like a normal SDLC flow. Companies having team members that excel in QA testing are the one that gets access to bots with automation.
If testing is successful; then bots get proceeding to the next stage. However, if the test meets with failure, bots are again reverting to the development phase. Here, the developers find out errors that led to its failure, and the testing process is repeated. After undergoing successful testing the second time, there is a transmission of the bots to the deployment phase.
V. Deployment & Maintenance Phase
After development and testing of the given bot are done, they are deployed into the production environment. After their deployment, they are ready for usage by the customers. However, the case might arise that some issues again gets resurfaced.
No need to worry, because the bots again go back to the development and testing team so to resolve the issues as soon as possible. After resolving the problems, the bots are moved to the final phase i.e. their execution.
VI. Execute Bots
It is the crucial phase of the RPA life-cycle where the execution of bots occurs after its deployment so to generate meaningful results for the development team. Besides, the bots get in checking mode to ensure that the implementation has occurred as per the requirements of the customers.
VII. Support & Maintenance
It is the last phase of RPA life-cycle, where the bot after its execution becomes available in public. In the current phase, the team is ready to offer continuous support and maintenance to the customers if they found any defect in the given application. Those RPA service solutions are considered as best that have the best support and maintenance services and offer an immediate resolution of the flaw even after the product is in the hand of users.
Director of Community at PeerSpot (formerly IT Central Station)
Jul 25, 2022
Hi @Murat Gultekin, @reviewer1701468, @reviewer1295343, @Javier Orellana and @reviewer1465254,
Can you please chime in here and share your expertise?
Hi professionals,
Some automation SW have desktop versions that are robust.
However, I think they better manage to improve their versions in the cloud to speed up the processes of advanced integrations of all areas.
What do you think? Is it necessary?
Regional Manager/ Service Delivery Manager at a tech services company with 201-500 employees
Aug 24, 2021
Hi @Madison Sophia Bennett,
This is a very good query and my response is below:
The way I look at this is as follows: if my requirement necessitates the below points, the project automation software should be integrated.
- Collaboration. The ability to communicate and share information with team members about a project is a foundational element of project management.
- Task Management. The primary capability of all project management tools is all about creating lists of tasks that are tracked and managed as part of a given project.
- Time Tracking. Keeping track of time allocated and used for the project is an important project management capability.
- Scheduling. It’s not enough to just assign tasks; project management is also about scheduling due dates and managing deliverables. Typically project management tools use Gantt charts to visually illustrate a project schedule.
There are a number of key considerations to evaluate as part of a decision on cloud project management
- Features. The basics of project management, including scheduling, task creation, and project tracking, are part of all cloud-based project management tools. Beyond the basics, it’s important to identify if there are other required features that you need, whether it’s directly integrated billing or a specific type of collaboration capability.
- Integrations. Every organization is already using all kinds of different tools to get things done, whether it’s an existing collaboration, file sharing, customer relationship management, or another tool. Identify the tools that matter to your organization and make sure that the project management service you’re considering has integrations with them.
- Cost. Cloud-based tools are always driven by cost-per-user subscriptions. Consider the total cost to operate a given service as a key factor when evaluating different options.
Sr. Data Coordinator at a financial services firm with 501-1,000 employees
Aug 27, 2021
Managing all areas of a product is critical to success with the client base.
If the UI is robust, but the backend is limited, then time needs to be spent on improvements for that area.
Intelligent automation is the need of the hour today for businesses across industries. Business leaders are rapidly implementing automation solutions in their existing processes or creating new automation opportunities. By doing so, they are accelerating their digital transformation to achieve operational efficiency and productivity.
It has the potential to deliver enormous benefits for your o...
Cost to Benefit is of utmost importance in any RPA program for any organization to figure out benefits gained.The 3 main levers that need to be considered are:1. Increase in the Cash flow - Once an investment is done, the organizations will focus more on the immediate ROI. Factors that should be considered are:1a. Reduce spending - Focus on reduction in spending, eg. Leverage existing team memb...
Regional Manager/ Service Delivery Manager at a tech services company with 201-500 employees
Dec 15, 2021
Hi @Amar Yelane, Thanks for the article and for giving insights on the cost-benefit analysis of the RPA program, can you help us understand how can we do the Estimation of robots needed & what would be the Refinement of Benefits in such a scenario?
ICT is getting more and more complex: today I have several systems in Chicago, several more in Amsterdam and if you need to protect your environment you will need to check on-premises, the cloud at Amazon, and the cloud at Microsoft Azure.
Why is Performance related to security?
For the following reasons:
Today we need more than one tool to protect our environment. You need anti-spoofing...
Let me summarize the RPA life cycle but first let's put a process in place.
Robotic Process Automation: bringing together people, processes, technology and information towards effective digital transformation.
Pillar-1: Process Mining and Opportunity assessment
Pillar-2: Business Case and Project Management
Pillar-3: Solution Design and Project Planning, Scheduling
Pillar-4: Technology Support and assessment and help
Pillar-5: Technical Delivery, Analysis, Design, Deployment Testing and QA
Pillar-6: User Acceptance, Deployment and GoTo Production
Pillar-7: Service and Support (Service Management, Handover to Service Team)
Pillar-8: Critical Success Factor and Measurement
Pillar-9: Change Management and Back to Pillar-1
Teams Involved: Business Operations, IT and Governance, Architecture Teams (ARCHITECTURE BOARD), Delivery Teams, Support Teams, Infrastructure Teams Information Security Team, Compliance and Legal Team etc.
Hi@Evgeny Belenky ,
Would categorize the life cycle of RPA in basic 7 stages as mentioned below.
Stages of RPA Lifecycle:
I. Discovery Phase
It is the first and crucial phase of the RPA implementation roadmap that works with the combination of AI, human expertise, and technology to select the right automation process. Furthermore, it also helps in defining perfect governance for the success of the entire given procedure.
In the given phase, the requirement of the client is given more prominence and the decision is made whether to automate the process or not. If the decision is taken to automate the given process; then there is a detailed analysis of the complexity by the RPA analyst team.
Furthermore, the business team and RPA architect strategist work together to create a high-level implementation plan that helps in making their analysis more full proof. Finally, benefits associated with the automation are noted down.
II. Solution Design Phase
It is the phase where the designing of the steps to automate a given task is taken into consideration. Here, there is a lot of drafting that comes as a boon to the RPA service providers. Besides, there is a requirement of few documents that will come in handy for an effective RPA development and includes:
· Solution Design Document (SDD)
· Process Design Document (PDD)
· Technical Design Document (TDD)
The above-given document contains all the information that will be requiring the developers to process each step in depth. After analyzing all the requirements of the clients by designing a PDD, other requirements get priority and include budget, time spent, number of people currently working on the given task, and so on.
Thereafter, there is a creation of a flowchart to get an understanding of the process flow. It will, in turn, help in understanding which steps need automation and what their needs are. Afterward, the developers choose one of the best RPA software tools to automate the given task that results in developing the bot for perfect task automation.
III. Development Phase
It is the phase wherein the developer created automation scripts within the chosen RPA tools such as UiPath, Blue Prism, and many more. By following the previously developed PDD, there is a generation of bots or automation scripts.
Although in the given phase, there is no need for coding, and certain scenarios are testimonies of it. However, it might change depending on the task that is undergoing automation. Now, once there is a development of a suitable bot, the next stage is set for testing the developed bot.
IV. User Acceptance Tests (UAT)
The given stage signifies the testing of the developed bots. The given bots undergo testing in a pre-production environment so to examine their usage by the users via automation of some of the specific tasks.
Testing of the bots is conducted by some companies by the separate testing team. While many organizations have their committed testing team that performs testing using QA tests just like a normal SDLC flow. Companies having team members that excel in QA testing are the one that gets access to bots with automation.
If testing is successful; then bots get proceeding to the next stage. However, if the test meets with failure, bots are again reverting to the development phase. Here, the developers find out errors that led to its failure, and the testing process is repeated. After undergoing successful testing the second time, there is a transmission of the bots to the deployment phase.
V. Deployment & Maintenance Phase
After development and testing of the given bot are done, they are deployed into the production environment. After their deployment, they are ready for usage by the customers. However, the case might arise that some issues again gets resurfaced.
No need to worry, because the bots again go back to the development and testing team so to resolve the issues as soon as possible. After resolving the problems, the bots are moved to the final phase i.e. their execution.
VI. Execute Bots
It is the crucial phase of the RPA life-cycle where the execution of bots occurs after its deployment so to generate meaningful results for the development team. Besides, the bots get in checking mode to ensure that the implementation has occurred as per the requirements of the customers.
VII. Support & Maintenance
It is the last phase of RPA life-cycle, where the bot after its execution becomes available in public. In the current phase, the team is ready to offer continuous support and maintenance to the customers if they found any defect in the given application. Those RPA service solutions are considered as best that have the best support and maintenance services and offer an immediate resolution of the flaw even after the product is in the hand of users.