What you’ll 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
This course includes:
- 1 hour on-demand video
- 1 practice test
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
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:
· The marketing department
· Operational aspects of sales
· Operational growth
· Marketing growth
· Operations with data
· 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
How to Get this course FREE?
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Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).
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