Is Dataverse necessary to do any and all predictive customer analytics in Audience Insights?

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Posted on by gautam.chindarkar

Hello,

I am building a solution architecture for a Customer Data Platform for an enterprise client. Want to ideally use full capabilities of Audience Insights including completing partial data with predictions i.e. imputations. To do so, a pre-requisite is that Audience Insights be attached to a Dataverse instance (https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predictions?source=docs) and ADLS Gen 2 cannot be used. Couple of questions in this regard:

1> Is the above pre-requisite limited to imputation feature or for any predictive capability from Audience Insights (churn, Customer Lifetime Value, product recommendations....)?

2> If Dataverse is needed for leveraging Audience Insights predictive capabilities, can it handle big data volume?

Thanks,

Gautam

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gautam.chindarkar 15 on at

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RE: Is Dataverse necessary to do any and all predictive customer analytics in Audience Insights?

Thank you for clarifying and the value-added builds Zachary.
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Zachary Cook on at

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RE: Is Dataverse necessary to do any and all predictive customer analytics in Audience Insights?

Hello Gautam!

"Completing partial data with prediction" uses functionality from AI Builder, and the dataverse requirement is unique to that feature. In addition, you'll also need AI Builder licensed in your account to use this feature. Models that are out-of-the-box like Churn/Product Recommendations/etc. will function with any data storage method supported in Customer Insights. Our Custom Models integration requires an ADLS Gen 2 storage account.

Predictive capabilities in Audience Insights have been able to scale to our largest customers.

Hope that helps!