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

Data retention

Data retention policies are critical for any organization to ensure that data is kept for an appropriate length of time and is properly managed. This is especially important for RPA projects, which often involve the processing and storage of large amounts of data. Here are some types of data retention policies that can be applied to RPA projects and how they can help a company get valuable insights:

  • Legal retention: This type of data retention policy ensures that data is kept for the length of time required by law or regulation. For example, data related to financial transactions may need to be kept for a certain number of years in order to comply with accounting regulations. By adhering to legal retention requirements, companies can avoid potential legal or regulatory issues and ensure compliance with industry standards.
  • Business retention: This type of data retention policy is based on business needs and ensures that data is kept for as long as it is required...