My usual use cases for Qlik Cloud Analytics Featuring Answers include creating an analytics product suite for multiple tenant users. We had around 250 customers and we wanted to release the analytics solution with standard reports, ad hoc reporting capabilities, and GenAI capabilities using NLQ. Qlik Cloud Analytics Featuring Answers provides the associative model, which also supports NLQ in the form of Insight Advisor, allowing customization of SQL queries and implementing a security layer using RLS and section access in Qlik Cloud Analytics Featuring Answers. This use case involves launching a set of reports to multiple users, with the major challenge being managing security, ensuring that customer A does not see data of customer B. We have used Databricks and Qlik Cloud Analytics Featuring Answers, handling data at the Databricks level with RLS and section access coding done in Qlik Cloud Analytics Featuring Answers.
My usual use cases for Qlik Cloud Analytics Featuring Answers include creating an analytics product suite for multiple tenant users. We had around 250 customers and we wanted to release the analytics solution with standard reports, ad hoc reporting capabilities, and GenAI capabilities using NLQ. Qlik Cloud Analytics Featuring Answers provides the associative model, which also supports NLQ in the form of Insight Advisor, allowing customization of SQL queries and implementing a security layer using RLS and section access in Qlik Cloud Analytics Featuring Answers. This use case involves launching a set of reports to multiple users, with the major challenge being managing security, ensuring that customer A does not see data of customer B. We have used Databricks and Qlik Cloud Analytics Featuring Answers, handling data at the Databricks level with RLS and section access coding done in Qlik Cloud Analytics Featuring Answers.