Azure data lake storage: Though Customer Insights is a full SaaS application, more than not, our Enterprise customer want their data to be sitting in their own tenant – in their Azure data lake. This is our competitive differentiator. With Customer Insights, all the unified profiles can be stored in a customer’s Azure data lake tenant. The data between Customer Insights and Azure data stores meet at the lake.
Azure Synapse. Discover and combine Customer Insights profile data an enterprise data to create a complete data pipeline for extended analytics.
Azure Machine Learning: Customer Insights + AML allows data scientist to expedite the activation of data and focus on building, training, and deploying machine learning models that predicts and recommend next best action or offers for hyper-personalized experiences.
Using connectors: Customer Insights connectors* are same as the Power Query Online (the same used in Power BI online service) connectors. Data can be brought in from any cloud an web data estate. You can map, match, merge and enrich the ingested customer-based data into a unified customer profile, as qwell as further enrichs it with Micdosot proprietary signals.