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RPA Automation Services

RPA Automation vs Intelligent Automation?

By embracing digitization, businesses can streamline their operations, reduce costs, and improve their overall efficiency. This can be achieved by automating manual processes, implementing advanced analytics, adopting artificial intelligence, and leveraging cloud computing. Digital initiatives can also help organizations enhance their customer experience and drive innovation. By creating seamless and personalized experiences for customers, businesses can differentiate themselves from their competitors and build customer loyalty. Furthermore, digital tools can enable companies to gather valuable data on customer preferences and behavior, which can be used to develop new products or services. In addition to improving internal processes and customer experience, digital transformation can also help organizations optimize their supply chain and improve their agility. By leveraging technologies like blockchain and IoT, businesses can track goods throughout the supply chain in real-time, identify bottlenecks or inefficiencies, and make data-driven decisions to optimize their operations. Overall, investing in digital initiatives during an economic downturn can position organizations for success in the long term. By seizing the opportunity to embrace digitization and transform their processes, businesses can not only weather the economic uncertainties but also gain a competitive advantage that will help them thrive in the future.

Intelligent Automation

Assess

1. Review how your processes fit into the bigger picture
Your processes should all lead back to larger initiatives and business goals. The first step in your BPA will be to review existing processes and see how they fit into workflows, departments, and ultimately, those long-term goals that support your company mission.

2. Collect information on what’s happening now. Before you can analyze your processes, you need to know exactly how they work. The best way to do this is by speaking with the people who use them the most. Interview key stakeholders, create surveys, and review associated KPIs and metrics. You’d also want to look at the key performance indicators of current processes, such as how many items remain in the backlog after an Agile sprint is complete.

3. Analyze and map your data. Now it’s time for the analysis. Here, we will compile all your data, including:

All process steps

Relevant process diagrams

Associated team members

Current success metrics and KPIs

4. Identify opportunities for improvement
During the analysis step, we’ll identify redundancies and gaps. These are prime areas for improvement.

5. Make changes
Business process improvement (BPI) is where you take action on everything you’ve learned. After your BPA, you’ll use BPIs to adapt and make changes to your processes with a focus on increasing profitability.

Build

Ideation: All successful Agile software development projects begin with an ideation stage. The Agile product owner (PO) works closely with stakeholders, the business team, developers, and future app users. Guided by the greater team, the PO pieces together a project vision by:
Defining the purpose and goal of the new software
Determining and documenting business and user requirements
Prioritizing tasks and allocating resources

Development: After ideation, teams can start building the first iteration of the software. The development phase includes all related production tasks in the SDLC, such as UX/UI design, architecting, and coding.

Developing the first iteration of a software product is often the longest stage of the Agile application development lifecycle.

Testing: Development went smoothly, and the team is happy with the app’s first iteration. Before release, the app has to go through a quality assurance check. The Agile team tests the app to ensure full functionality by:
Checking that the code is clean
Addressing bugs and errors
Performing trial runs

Deployment: Once the app is ready for release, the Agile team deploys it to the cloud or an on-premise server.

Once deployed, the product is live and accessible to customers. Deployment tends to be the most celebratory moment in the SDLC: You did it! Pat yourself on the back now, but there’s one more stage to go.

Stage 5: Operations
After pushing the magic button, the work continues. Ongoing maintenance helps squash bugs and maintain functionality. As users engage with the app, there will be opportunities to collect feedback and make improvements to release in future iterations.

Delivery

What is solution delivery methodology?
In essence, solution delivery is a method of ensuring a successful transition to a new business and/or technical state and the associated benefits realized by the organization. This method requires A thorough understanding of the organization's business objectives. A defined set of stakeholder expectations. ASI will define solution delivery success:
In essence, solution delivery is a method of ensuring a successful transition to a new business and/or technical state and the associated benefits realized by the organization. This method requires A thorough understanding of the organization's business objectives. A defined set of stakeholder expectations.

The Implementation Methodology is broken into five stages: Prepare, Plan, Design, Validate, and Deploy. Each stage includes a series of segments that are filled with a set of inputs, tools, techniques, and deliverables all building upon one another to move to the next stage.

Withing RPA Automation Project, most information for preparation has been established.

A Project Implementation Plan is prepared upon successful build and testing. We will employ the following steps to create your project implementation plan:
1. Define your goals and milestones.
2. Conduct research by interviewing, surveying, or observing.
3. Brainstorm and map out potential risks.
4. Assign and delegate essential tasks.
5. Finalize your plan and allocate resources.

Depending on the project scope and risks involved, we utilize of the following Implementation Methodologies:
Direct cutover.
Pilot implementation.
Parallel operation.
Phased implementation.

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