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CoursesMicrosoft Dynamics
Microsoft Customer Data Platform Specialty MB-260
Microsoft Dynamics
Microsoft Customer Data Platform Specialty MB-260

With Microsoft's MB-260 certification training by Techpratham, you can learn everything there is to know about Customer Insights and Customer Data Platform (CDP). Learn how to combine, analyze, and use customer data to make better choices.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About Microsoft Customer Data Platform Specialty MB-260

Microsoft Customer Data Platform Specialty MB-260 training is designed for professionals who want to build expertise in Microsoft Dynamics 365 Customer Insights and data management solutions. This course focuses on unifying customer data from multiple sources, creating 360-degree customer profiles, and delivering personalized experiences using AI-driven insights. You will learn data ingestion, segmentation, data modeling, identity resolution, and integration with Dynamics 365 and other Microsoft tools.

The training includes hands-on practice with real-time scenarios, helping you understand how businesses use customer data platforms to improve marketing and decision-making. This course is ideal for data professionals, marketers, and CRM consultants.

Our MB-260 training is available across major IT hubs in India including Bangalore, Hyderabad, Chennai, and Noida, with flexible online and classroom options. With expert trainers and certification guidance, this course prepares you for high-demand roles in customer data and analytics across India.


Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Microsoft Customer Data Platform Specialty MB-260 Course Curriculum

Introduction to Customer Data Platform (CDP)

Understand CDP fundamentals and Microsoft’s Customer Insights solution.

CDP overview
Dynamics 365 Customer Insights architecture
Data unification concepts
Security & compliance basics

Data Ingestion (Ingest Data into Customer Insights – Data)

Understand how to connect, transform, and load data from multiple sources.

Connectors (Dataverse, Azure Data Lake)
Power Query transformations
Incremental refresh
Error handling

Customer Profile Unification

Unify customer data into a single profile using matching and merging rules.

Matching & deduplication
Primary key setup
Merge/unify fields
Reviewing unified profiles

Measures, Segments & Profiles

Create measures, customer segments, and configure relationships effectively.

Metrics & measures
Segment building
Relationships & activities
Search & filter indexes

Predictions & Enrichment

Apply AI/ML models and third-party enrichment to enhance profiles.

Built-in predictions
CLV & churn models
Partner enrichment Azure ML integration
Partner enrichment Azure ML integration

Integrations & Exports

Share insights with external systems, APIs, and business apps.

Export options
Dynamics 365 integration
Power Platform usage
API connectivity

Microsoft Dynamics Courses

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Additional Program Highlights

Learning Materials
Resume Writing
Interview Preparation
Interview Preparation

Upcoming Batches

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Who Should Take Microsoft Customer Data Platform Specialty MB-260

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For Microsoft Customer Data Platform Specialty MB-260

Customer Data Consultant

Customer Insights Consultant

Data Platform Consultant

Key Projects

Microsoft Customer Data Platform Specialty MB-260

Aditya Birla Fashion & Retail

Aditya Birla Fashion & RetailRetail Customer Insights Hub


Scenario: Implemented Microsoft Customer Data Platform to unify retail customer data, build segments, create profiles and enable targeted marketing journeys

Live Work:

  • Integrated multi source data feeds
  • Built unified customer profiles
  • Created dynamic audience segments
Outcome: Enabled personalized retail campaigns
Saint-Gobain

Saint-GobainIndustrial Data Unification


Scenario: Configured Customer Data Platform to consolidate distributor data, sales interactions and engagement metrics for analytics insights

Live Work:

  • Connected distributor systems
  • Mapped data to unified schema
  • Designed engagement dashboards
Outcome: Improved distributor engagement view
Metro Bank

Metro BankBanking Customer 360 Model


Scenario: Deployed Customer Data Platform to unify account data, transaction history and service records for secure customer intelligence

Live Work:

  • Integrated secure banking feeds
  • Designed customer 360 profiles
  • Built compliance based segments
Outcome: Strengthened customer intelligence
Infosys

InfosysEnterprise Data Experience


Scenario: Implemented Customer Data Platform integrating CRM, marketing systems and analytics tools to deliver unified enterprise insights

Live Work:

  • Integrated CRM data sources
  • Configured identity resolution
  • Enabled advanced segmentation
Outcome: Delivered enterprise data clarity

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

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Alumni Sessions

Interview Preparation

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