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Salesforce Data Architecture and Management

You're reading from  Salesforce Data Architecture and Management

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Pages 376 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ahsan Zafar Ahsan Zafar
Profile icon Ahsan Zafar
Toc

Table of Contents (14) Chapters close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities 3. Chapter 2: Understanding Salesforce Objects and Data Modeling 4. Chapter 3: Understanding Data Management 5. Section 2: Salesforce Data Governance and Master Data Management
6. Chapter 4: Making Sense of Master Data Management 7. Chapter 5: Implementing Data Governance 8. Chapter 6: Managing Performance 9. Section 3: Large Data Volumes (LDVs) and Data Migrations
10. Chapter 7: Working with Large Volumes of Data 11. Chapter 8: Best Practices for General Data Migration 12. Assessments 13. Other Books You May Enjoy

Putting it all together

Let's put all the learnings of this chapter in a case study and see how these learnings would be practically applied. We are working with a hypothetical company called, Alpha Mobility Services (AMS), which is a large global telecommunications company providing mobile and internet services to both B2B and B2C customers in 31 countries.

AMS has grown naturally as well as via acquisitions, resulting in a multitude of CRM, marketing, and ERP systems within its technology landscape. The data architect team has worked to consolidate the various CRMs into Salesforce and Salesforce is now globally used. The company uses multiple web-to-lead forms to capture data from prospects and create lead records in Salesforce. A team of Sales Development Representatives (SDRs) also creates leads in the system and routes them to the sales team.

AMS has upward of 3 million leads and 1 million opportunities in its system. For support purposes, AMS has implemented Service...

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