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Exploring the SAP Customer Data Platform's AI Workbench
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Providing Customer Data for the AI Workbench
Providing Customer Data for the AI Workbench
Identifying the Minimum Data Requirements and Distribution Criteria for the AI Workbench
14 min
Provisioning Customer Data Set for AI Workbench
9 min
Speed Running the Ingestion
10 min
Quiz
Applying the AI Workbench Predictive Models
Creating a Customer Churn Indicator
33 min
Creating a Customer Lifetime Value Indicator
34 min
Quiz
Visualizing Predictive Insights
Visualizing Predictive Insights
17 min
Quiz
Providing Customer Data for the AI Workbench
Identifying the Minimum Data Requirements and Distribution Criteria for the AI Workbench
14 min
Provisioning Customer Data Set for AI Workbench
9 min
Speed Running the Ingestion
10 min
Quiz
Applying the AI Workbench Predictive Models
Creating a Customer Churn Indicator
33 min
Creating a Customer Lifetime Value Indicator
34 min
Quiz
Visualizing Predictive Insights
Visualizing Predictive Insights
17 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 5 right to pass this unit.
1.
You want to run models in AI Workbench to learn about its capabilities and features. What is the fastest and easiest way of sourcing observation data into AI Workbench while respecting data privacy regulations?
There are two correct answers.
Ingest your production data into SAP Customer Data Platform before running the AI models.
Anonymize your existing customer data before ingesting it into SAP Customer Data Platform.
Generate a synthetic sample customer dataset using distribution groups that fall into distinct consumer patterns most likely to produce meaningful Predictive Indicator results.
AI Workbench will generate synthetic data for you based on an LLM prompt you provide.
Such data has to be ingested into SAP Customer Data Platform before running the AI Workbench models.
2.
What are the minimum data requirements for running AI Workbench models?
There are two correct answers.
20,000 profiles
No minimum number of profiles
100,000 orders
No minimum number of orders
Just some profiles
3.
What are some of the required steps needed to be performed before ingesting data in SAP Customer Data Platform?
There are two correct answers.
Configure Actions
Configure Source Application
Configure Events
Configure Explorations
Configure Model Settings
4.
How to verify if the customer data was correctly ingested into the SAP Customer Data Platform?
There are two correct answers.
By checking the Schemas functionality
By setting up a Processing Purpose
By using the Customer Search feature
By viewing the Event Status
By checking the AI Workbench Run Log
5.
What is a quick and easy way to create synthetic customer data that can be ingested into SAP Customer Data Platform while keeping compliant with data privacy regulations?
Choose the correct answer.
Ask for the customer dataset using an LLM prompt.
Ask for source code that generates the customer data according to a specification that follows the desired distribution groups.
Buy such data from internet data brokers. Since you are sourcing from the internet, you don’t have to be compliant with local data regulations.
Merge existing databases, consolidate them in Excel, export the results into CSV, and transform the resulting CSV files into JSON.
Use the SAP Customer Data Platform Customer Explorations feature to generate the customer datasets according to the required distribution specifications.
6.
What roles are the target audience for AI Workbench?
There are three correct answers.
System administrators
Data scientists
Business users
Marketing analysts
Support agents