This course is designed to equip you with the advanced consulting skills needed to confidently design and implement Salesforce Data Cloud solutions in real-world business environments. You’ll learn how to ingest and model data, create unified customer profiles through identity resolution, build meaningful segments, generate insights, and activate data across Salesforce and external systems. Each module blends practical concepts with consulting-focused thinking to help you communicate value to stakeholders, solve data challenges, and design scalable architectures. Through hands-on labs, guided walkthroughs, and coach dialogues, you’ll develop the ability to translate fragmented data into actionable intelligence that drives personalization, automation, and smarter decision-making.

Salesforce Datacloud: Advanced Consulting Skills

Salesforce Datacloud: Advanced Consulting Skills

Instructor: Deepika Khanna
Access provided by Xavier School of Management, XLRI
Recommended experience
What you'll learn
Design scalable Data Cloud architectures by evaluating data sources, readiness, and implementing ingestion and identity resolution.
Translate business goals into Data Cloud use cases using consulting frameworks for segmentation, activation, and AI insights.
Assess Data Cloud ROI by defining KPIs, avoiding pitfalls, and presenting solutions that drive measurable business value.
Skills you'll gain
- Customer Insights
- Data Integration
- Stakeholder Communications
- Data Architecture
- Technical Consulting
- Customer Analysis
- Data Modeling
- Enterprise Architecture
- Data Integrity
- Solution Design
- Business Consulting
- Salesforce Development
- Salesforce
- Key Performance Indicators (KPIs)
- Return On Investment
- Customer Data Management
- Consulting
- Cloud Computing Architecture
- Scalability
- Data Strategy
- Skills section collapsed. Showing 10 of 20 skills.
Details to know

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1 assignment
February 2026
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There are 3 modules in this course
Introduce the core concepts of Salesforce Data Cloud (now often referred to as Data 360) — its purpose, business value, lifecycle, and typical use cases.
What's included
4 videos2 readings1 peer review
Teach learners how to bring data from different sources into Data Cloud (e.g. external systems, file uploads, data streams), model that data appropriately (Data Source Objects, Data Lake Objects, Data Models), and map data to support unified customer profiles.
What's included
4 videos1 reading1 peer review
Show how to transform unified customer data into actionable business insights: build segments, configure calculated or streaming insights, query data to validate segments, and maintain segmentation logic.
What's included
6 videos1 reading1 assignment2 peer reviews
Instructor

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