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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
Tools
Concepts
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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

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...
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