Book Image

RPA Solution Architect's Handbook

By : Sachin Sahgal
Book Image

RPA Solution Architect's Handbook

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)
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

Analytics

Analytics can complement RPA in several ways, and together, they can provide businesses with powerful insights into their operations and investments. Here are some ways in which analytics can complement RPA and help businesses get insights into their investment and ROI:

  • Monitoring performance: Analytics can be used to monitor the performance of RPA processes in real time. By collecting and analyzing data on the performance of RPA bots, businesses can identify areas for improvement and optimize their automation processes.
  • Identifying trends and patterns: Analytics can be used to identify trends and patterns in data collected by RPA processes. For example, businesses can use analytics to track the frequency and types of errors encountered by RPA bots, which can help them identify areas for improvement and optimize their processes.
  • Measuring ROI: Analytics can be used to measure the ROI value of RPA investments. By collecting and analyzing data on the cost savings...