An organization wants to use multiple marketing datasets to forecast (Digital Leader)

Correct answer: D) Combine the datasets and make predictions using machine learning.
Here's why:

A) Importing the datasets into a custom data warehouse and archiving old data might be a good approach for storage and organization, but it doesn't directly address gaining new insights or utilizing cloud technology for analysis.

B) Importing and selectively archiving datasets in a custom data lake could help with storage and organization, but again, it doesn't directly address gaining new insights or utilizing cloud technology for analysis.

C) Separating the datasets and making predictions using machine learning could be beneficial for certain analyses, but in this case, the organization wants to forecast user acquisition, which typically requires analyzing multiple datasets together to identify patterns and correlations.

D) Combining the datasets and making predictions using machine learning is a powerful approach to gain new insights from the data. Cloud platforms offer scalable infrastructure and machine learning services that can efficiently handle large datasets and perform complex analyses to forecast user acquisition based on various marketing data.

Therefore, option D is the most appropriate choice for leveraging cloud technology to gain new insights from multiple marketing datasets for forecasting user acquisition.