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)
Part 1:Role of a Solution Architect
Part 2:Being Techno/Functional
Part 3: Tool Agnostic Approach
Part 4:Best Practices

Data, Security, and Logs

In the digital era, data, security, and logs are crucial components of an organization’s IT infrastructure. Organizations heavily rely on data to make informed decisions and gain a competitive edge. Therefore, possessing high-quality data is crucial for an organization’s success. Data quality refers to the accuracy, completeness, consistency, and timeliness of data. Good data quality ensures that organizations make informed decisions based on accurate and reliable data. On the other hand, poor data quality can lead to incorrect decisions, financial losses, and reputational damage. Security is an equally critical aspect of managing data. Organizations gather and maintain sensitive data such as customer information, financial records, and intellectual property. Incidents of data breaches can cause significant financial losses and damage an organization’s reputation. Thus, it’s essential for organizations to put in place robust security...