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RPA Solution Architect's Handbook

You're reading from   RPA Solution Architect's Handbook Design modern and custom RPA solutions for digital innovation

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803249605
Length 302 pages
Edition 1st Edition
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Author (1):
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Sachin Sahgal Sachin Sahgal
Author Profile Icon Sachin Sahgal
Sachin Sahgal
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Table of Contents (25) Chapters Close

Preface 1. Part 1:Role of a Solution Architect
2. Chapter 1: Why Do We Need a Solution Architect? FREE CHAPTER 3. Chapter 2: Case Study of a Banking Client 4. Chapter 3: Extracurricular Activities 5. Part 2:Being Techno/Functional
6. Chapter 4: Studying the Lay of the Land 7. Chapter 5: Designing Framework for Consistency and Resiliency 8. Chapter 6: Need for Documentation and Working with SIT/UAT Scripts 9. Chapter 7: RPA Development Phases 10. Chapter 8: Customer Obsession in the RPA Journey 11. Part 3: Tool Agnostic Approach
12. Chapter 9: Intelligent Automation 13. Chapter 10: Hyperautomation: The Future of RPA 14. Chapter 11: Reusable Components 15. Chapter 12: RPA as a Service (RPAaaS) 16. Chapter 13: Finding the Best Solution 17. Part 4:Best Practices
18. Chapter 14: Design Best Practices 19. Chapter 15: Data, Security, and Logs 20. Chapter 16: Key Performance Indicators (KPIs) 21. Chapter 17: Reporting, Analytics, Efficiency, and Efficacy 22. Epilogue
23. Index 24. Other Books You May Enjoy

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...
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