My main use case for Joulica Amazon Connect Analytics is for custom reporting and connecting the raw data, where I can query with SQL or use my BI tool, for example, Power BI. An example of how I use Joulica Amazon Connect Analytics for custom reporting or connecting raw data involves projects that include contact center analytics dashboards, where I set up the instance on Amazon Connect. It contains different contact flows and conversation analytics, with set recording analytics and different types of parameters. The data analytics lake was set up using the S3 Parquet format bucket.
My main use case for Amazon Connect Analytics is for our help desk service, where we're trying to analyze the interactions that our customers have in order to provide better services. One specific example of how I use Amazon Connect Analytics for our help desk service is the sentiment analysis, which helps us identify if the reason a client requests help is because, for example, a client who always calls is upset. Something is really bad with the service he's receiving or the equipment he's using. Based on that, we can create specific plans to help them, which has helped us considerably and has also helped us determine which services the clients are using more. Those are two basic examples.
Customer Delivery Architect at a consultancy with 11-50 employees
Real User
Top 10
Dec 2, 2025
Amazon Connect Analytics allows customers and users to gain insights into their contact center data, understand their volume, and build dashboards to achieve visibility.
Learn what your peers think about Joulica Amazon Connect Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
My main use case for Joulica Amazon Connect Analytics is for custom reporting and connecting the raw data, where I can query with SQL or use my BI tool, for example, Power BI. An example of how I use Joulica Amazon Connect Analytics for custom reporting or connecting raw data involves projects that include contact center analytics dashboards, where I set up the instance on Amazon Connect. It contains different contact flows and conversation analytics, with set recording analytics and different types of parameters. The data analytics lake was set up using the S3 Parquet format bucket.
My main use case for Amazon Connect Analytics is for our help desk service, where we're trying to analyze the interactions that our customers have in order to provide better services. One specific example of how I use Amazon Connect Analytics for our help desk service is the sentiment analysis, which helps us identify if the reason a client requests help is because, for example, a client who always calls is upset. Something is really bad with the service he's receiving or the equipment he's using. Based on that, we can create specific plans to help them, which has helped us considerably and has also helped us determine which services the clients are using more. Those are two basic examples.
Amazon Connect Analytics allows customers and users to gain insights into their contact center data, understand their volume, and build dashboards to achieve visibility.