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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

Understanding master data

In this section, we will first start with the definition of master data, the need to identify and manage master data, and the different types of master data. This is going to help us in our later discussion of the Golden Record and in the MDM and CRM strategy sections.

So, let's dive right in and define master data.

What is master data?

Master data can be defined as the data that describes the core entities of the business. This can include customers, suppliers, locations, leads, and so on. A good indication of whether a data element is master data is to review its use across multiple business functions, processes, or systems in the organization. For example, leads that funnel into the marketing team, once qualified, will flow down to the sales team. Once a deal has been won, the same lead, which is now a customer, will flow down to sales operations and in this instance, eventually into the ERP's contracts module as a customer. Sharing master...

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