In this episode we will introduce and explore the analytics capabilities of Cognigy.AI, and explain how to get the most out of Cognigy Insights and how to access the virtual agent data.

We will explain the core features of the Cognigy Insights dashboards and show how to build your Virtual Agent to get the most analytical benefit. We introduce the Flow building tools for assisting with analytics customization and what the best practices are for gaining insightful and uncluttered data.

Furthermore, we will introduce Cognigy’s conceptual approach to analytics records and demonstrate how to build an OData query. We show how to use the OData query to import the analytics records from a Cognigy.AI virtual agent into a BI tool. We also explore multiple options for masking sensitive information that is collected by the virtual agent across both the analytics records and project logs.

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