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RPA Solution Architect's Handbook

RPA Solution Architect's Handbook

By : Sachin Sahgal
4.8 (5)
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RPA Solution Architect's Handbook

RPA Solution Architect's Handbook

4.8 (5)
By: Sachin Sahgal

Overview of this book

RPA solution architects play an important role in the automation journey and initiatives within the organization. However, the implementation process is quite complex and daunting at times. RPA Solution Architect’s Handbook is a playbook for solution architects looking to build well-designed and scalable RPA solutions. You’ll begin by understanding the different roles, responsibilities, and interactions between cross-functional teams. Then, you’ll learn about the pillars of a good design: stability, maintainability, scalability, and resilience, helping you develop a process design document, solution design document, SIT/UAT scripts, and wireframes. You’ll also learn how to design reusable components for faster, cheaper, and better RPA implementation, and design and develop best practices for module decoupling, handling garbage collection, and exception handling. At the end of the book, you’ll explore the concepts of privacy, security, reporting automated processes, analytics, and taking preventive action to keep the bots healthy. By the end of this book, you’ll be well equipped to undertake a complete RPA process from design to implementation efficiently.
Table of Contents (25 chapters)
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1
Part 1:Role of a Solution Architect
5
Part 2:Being Techno/Functional
11
Part 3: Tool Agnostic Approach
17
Part 4:Best Practices
22
Epilogue

What is IA?

The words themselves give the meaning of what IA is. Intelligent automation became the need for the industry as we moved more toward automation. Automation is everywhere, and we have been using automation for the past few decades, but the question is: can we ever bake that human-like intelligence into automation so that we can offload those cognitive tasks and processes of humans to machines? The answer is simple: yes, we can, but only to an extent. So, as the industry was trying to figure out what could be done to cater to the plethora of processes that still needed to be automated and how much money could be saved, engineers were trying to figure out whether it was something they could add or strap to RPA so it could become a next-generation automation technology. This produced the idea of amalgamating two technologies into one to achieve this, which is when IA was born.

IA is an amalgamation of RPA, artificial intelligence (AI), and machine learning (ML). It became...

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