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Slidy Data Mart Unlocking Insights to Propel Success!

Reporting Solution designed  to provide the utmost value at a highly competitive price!

Slidy Data Mart - Extract, Transform, and Load Your Way to Actionable Insights!

Slidy Data Mart is a comprehensive ETL (Extract, Transform, Load) solution designed specifically for Genesys Cloud Contact Centers. It utilizes Genesys APIs to extract data from Genesys Cloud and converts it into structured CSV and SQL tables.

With Slidy Data Mart, you can effortlessly extract, transform, and load your Genesys Cloud data, opening the doors to a wealth of valuable insights. Dive deep into your contact center operations with customizable tables, tailored to capture the main conversation information as well as any additional custom tables you need. Seamlessly inject the structured data into your choice of on-premise or cloud repositories, as well as data warehouse systems, ensuring maximum flexibility and compatibility with your existing infrastructure. But it doesn’t stop there.

Slidy Data Mart empowers you to consume and visualize your Genesys Cloud data like never before. Whether you prefer the dynamic Slidy wallboard/dashboard, the advanced analytics of AWS Athena, the user-friendly interface of MS Power BI or tools like Qlik, Tableau, or cloud solutions like MS Azure Data Factory, Slidy Data Mart seamlessly integrates with these popular third-party tools.

Experience the freedom to explore data at different aggregate levels, tailoring the granularity of your analysis to meet your unique customer requirements.

Slidy Data Mart also extracts data in real time through the integration of AWS Event Bridge to Genesys Cloud. This allows customers to tap into real-time metrics and build custom intra day reports.

With Slidy Data Mart as your trusted companion, you’ll unlock the full potential of your Genesys Cloud data, make data-driven decisions that drive exceptional customer experiences, and propel your contact center to new heights of success.

Slidy Data Mart

Where Flexibility Meets Scalability in Contact Center Analytics

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