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Salesforce Sales Cloud – An Implementation Handbook

You're reading from   Salesforce Sales Cloud – An Implementation Handbook A practical guide from design to deployment for driving success in sales

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781804619643
Length 368 pages
Edition 1st Edition
Concepts
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Author (1):
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Kerry Townsend Kerry Townsend
Author Profile Icon Kerry Townsend
Kerry Townsend
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Building the Fundamentals
2. Chapter 1: Preparing for Success FREE CHAPTER 3. Chapter 2: Defining the Approach 4. Chapter 3: Design and Build: The Core Sales Process 5. Chapter 4: Design and Build: The Lead Generation Process 6. Chapter 5: Design and Build: Sales User Productivity 7. Part 2: Preparing to Release
8. Chapter 6: Bringing Data into Sales Cloud 9. Chapter 7: Getting Sign-Off 10. Chapter 8: Executing Testing 11. Chapter 9: Executing Training 12. Chapter 10: Deployment Planning 13. Part 3: Beyond the Fundamentals
14. Chapter 11: Territory Management 15. Chapter 12: Modeling Additional Processes with Sales Cloud 16. Chapter 13: Common System Integrations 17. Chapter 14: Extending with the AppExchange 18. Index 19. Other Books You May Enjoy

Identifying data to load

Your solution design determines the exact data you need to bring into Sales Cloud. However, all solutions typically include Accounts, Contacts, and Opportunities. They also often include Products, Price Books, Opportunity Products, and Leads. Your business maturity will determine the volume of data available to load, and the type of business performed will determine how much historical data you need to have available.

The first and most important step is deciding what set of data to load. It is tempting and common practice to simply load all the data available without any critical analysis. During the later stages of implementation, there is usually a desire to get the system running as soon as possible, and loading all the data available may seem like the path of least resistance. However, this can turn out to be a mistake. There are consequences, including an ongoing maintenance cost, to holding data.

There are obvious costs, such as data storage, but...

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