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Microsoft MB-260, Customer Data Platform Specialty, Dynamics 365, Microsoft Dataverse, Machine learning models

What you will learn

Howt to Use Dynamics 365 Customer Insights to identify your audience and consume it

Analyze Data sources imported with Power Query, data cleaned, transformed, and loaded, Microsoft Dataverse data sets

Establish a unified profile for customers by setting up duplicate records, matching conditions, and source fields

Configurable indexes, relationships and activities, Measures and Segmentation

Utilize machine-learning models to enrich data, enhance brands and interests, and predict subscription churn

Description

Master Course in Microsoft MB-260 – Customer Data Platform Specialty

An online and offline customer data platform combines disparate online and offline data sources to create a single view of your customers.

It can validate your skills and help open career doors if you specialize in building solutions that provide insight into customer profiles, track engagement activities, and improve customer experiences.

Customer data platforms (CDPs) are used for marketing. You can build a single, coherent, complete view of your customers by collecting and combining first-party data from multiple sources. Then, marketers can use it to create targeted, personalized campaigns.

CDPs (customer data platforms) have these key features:

Ingestion of data.

Resolution of identity issues.

Processing data.

Segmentation in real-time.

Synchronization and syndication of data.

Who uses a CDP the most?

Although sales, demand generation, and other go-to-market teams will ultimately benefit from a CDP, these jobs are often the ones working on it and managing it after it’s implemented:


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ยท The marketing department

ยท Operational aspects of sales

ยท Operational growth

ยท Marketing growth

ยท Operations with data

ยท Data engineer

Here are the five major topics I’d like to cover in this master’s course:

1. Use Dynamics 365 Customer Insights to identify your audience and consume it

2. Data sources imported with Power Query, data cleaned, transformed, and loaded, Microsoft Dataverse data sets

3. Establish a unified profile for customers by setting up duplicate records, matching conditions, and source fields

4. Configurable indexes, relationships and activities, Measures and Segmentation

5. Utilize machine-learning models to enrich data, enhance brands and interests, and predict subscription churn

English
language

Content

Master Course in Microsoft MB-260 – Customer Data Platform Specialty – Lectures

Use Dynamics 365 Customer Insights to identify your audience and consume it
Data sources imported with Power Query, data cleaned, transformed, and loaded,..
Establish a unified profile for customers by setting up duplicate records, match
Configurable indexes, relationships and activities, Measures and Segmentation
Utilize machine-learning models to enrich data, enhance brands and interests, an