Salesforce Data Cloud Introduction

Jul 12, 2024

Salesforce Data Cloud Introduction

Presented by: Danielle Larigi, Senior Developer Advocate at Salesforce

šŸ‘‹ Welcome to the Data Cloud Series!

  • Introductory video for Salesforce Data Cloud series on YouTube
  • Focus on providing a high-level overview and special use cases
  • Goal: Transform customer experiences by connecting AI and data in CRM

Key Market Trends and Pressures

  • Do more with less: Teams are looking to increase efficiency and productivity
  • Unified data solutions: Save 67% of tech resources' time
  • Cost reduction with AI: 79% of companies achieve cost reduction
  • Increase productivity: Automating repetitive tasks saves 2+ hours a week per business line
  • Market pressures: Inflation and other economic factors affecting business operations

The Data Challenge

  • Growing Data: More data than ever before, generated by various sources
  • Data in Silos: Data stored across different systems, making it difficult to utilize
  • IT Resource Drain: 36% of IT time spent on integrating different systems

Use Cases for Salesforce Data Cloud

  • Personalized Customer Experiences: Enhance B2C business marketing
  • Data Integration after Mergers: Integrate data across multiple Salesforce orgs
  • Single Customer View: Unify customer data across multiple systems

Salesforce Data Cloud Solution

  • Data Connection: Connect to all customer data sources
  • Data Harmonization: Unify and harmonize data into a single view
  • Identity Resolution: Merge identities for a 360Ā° customer view
  • Extensibility: Integrate with partner apps for new use cases (e.g., Google Ads, Amazon, Meta, Snowflake, Amazon SageMaker)

How It Works

  1. Connect Data Sources: Use out-of-the-box connectors to integrate data from various platforms (Salesforce Clouds, Google Cloud Storage, Amazon S3, Azure, web/mobile, APIs via MuleSoft)
  2. Harmonize Data: Ingest and transform data (streaming/batch); align terminology and data models across systems
  3. Identity Resolution: Create unified customer profiles
  4. Data Activation: Utilize activation targets, data actions, or flows to create actionable insights

Learning Resources

  • Trailhead Trail: Data Cloud Quick Look
  • Documentation: Available on help.salesforce.com
  • Blog Post: Introducing Data Cloud on Salesforce Developers blog

Community and Connectivity

  • Visit: developer.salesforce.com for documentation and community resources
  • Follow on Twitter, subscribe to YouTube channel, and connect on LinkedIn

Conclusion

  • Topics covered: Data ingestion, harmonization, and activation
  • More in-depth videos to follow in the series
  • Call to action: Like and subscribe to stay updated

Presented by: Danielle Larigi, Senior Developer Advocate at Salesforce

Full transcript