Episode 102: Markus Erlandsson talks to Julian Sharp from Ready 365 about Customer Insights and how you can use the application to get insights about your customers. Julian starts by explaining the difference between Audience Insights and Engagement insights, then goes into details about the different feature parts of the application, Data ingestion, Segments and Intelligence and enriching data. Julian explains that this can tell you who your best customer is, and it’s never who you think it is. Julian continues with extension points like bring your own lake or your own or your own ML model.

Bio

Julian is a specialist and Trainer in Dynamics 365, Power Platform, and Azure solutions. He focuses on creating solutions for businesses making use of Microsoft Dynamics 365, Power Apps, Power Automate, Azure, and supporting technologies.
Julian has long had an interest in using AI to enhance the customer experience, using Cognitive Services, Bot Framework, and Azure Machine Learning.

Customer Insights brings this all together!

Links

Marketing page https://dynamics.microsoft.com/en-us/customer-data-platform/

Documentation https://docs.microsoft.com/en-us/dynamics365/customer-insights/

Julians learn collection https://docs.microsoft.com/en-us/users/julians/collections/n5p4a7yn4wnoex

Dataflows https://docs.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-introduction-self-service

Azure Data Lake https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction

Common Data Model format in Azure Data Factory https://docs.microsoft.com/en-us/azure/data-factory/format-common-data-model

https://events.powercommunity.com/sessions/ai-in-dynamics-365-customer-data-platform/