
Salesforce Data Resources Worth Bookmarking
Fourteen places to learn Salesforce data management, from Trailhead modules to admin-run podcasts, organized by what each one is actually good for.
- Salesforce

Fourteen places to learn Salesforce data management, from Trailhead modules to admin-run podcasts, organized by what each one is actually good for.

How to tell whether a Salesforce app is actually native, what that buys you in security and speed, and how to get more out of one once you've picked it.

The 1-10-100 rule, what poor data costs in customer experience, and a worked example: cleaning 20,000 duplicates out of a 100,000-record Salesforce org.

The first chapter of Mastering Salesforce Data: why Salesforce's CRM growth raises the stakes on data quality, and what counts as data purity and precision.

How Salesforce's built-in Matching Rules and Duplicate Rules work, how to set one up, and the specific record and API limits that cap what they can do alone.

What Salesforce Validation Rules actually check, how to build and test one, and the specific situations — lead conversion, mass transfer — where they don't fire.

A field guide to Salesforce's two native import tools: the Data Import Wizard for smaller jobs, the Data Loader for bulk work, and where each one runs out.

Why organizations look past Salesforce's native tools for premium data solutions: five recurring needs, from complex integration to deeper analytics.

Three scenarios where native Salesforce tools run out: enriching thin records, deduplicating across objects, and migrating data without losing relationships.