CONVERSATIONAL ANALYTICS SOLUTION
Improve Business Performance with Conversational AI Analytics
Find actionable insights from every customer interaction with Qlik’s conversational analytics solution. Use natural language processing to analyze customer conversations across multiple channels and improve business performance.

How Qlik's conversational analytics solution works
Step 1 - Connect to diverse data sources, sales interactions, and existing data infrastructure
Step 2 - Apply natural language processing to analyze customer sentiment and competitor mentions
Step 3 - Deliver detailed answers and predictive insights through a conversational interface

Why choose Qlik for conversational analytics?

Connect every customer interaction to your business logic
Most conversational analytics tools operate in silos. Qlik connects your conversational data to your broader business intelligence environment using Qlik Cloud Analytics.

Maintain strict data governance over sensitive customer data
We prioritize data privacy in every conversation intelligence solution. Qlik provides the controls needed to use conversational AI safely while following your specific data governance rules.

Combine conversation analytics with advanced data analysis
Move beyond simple keyword tracking. Our augmented analytics uses machine learning to identify patterns in customer behavior and user behavior.

Automate revenue workflows with autonomous agents
Use Agentic Al to automate sales coaching and quality assurance. This technology turns raw data from sales interactions into a strategic advantage for revenue teams.
Conversational analytics FAQs
Traditional BI often requires manual data entry and SQL knowledge. Conversational analytics solutions uses natural language processing to interpret human language and provide instant insights.
Yes, the solution helps monitor contact center performance by analyzing customer sentiment and agent performance across thousands of phone calls.
No, the conversational interface is designed for non technical users. People can ask questions about key metrics in plain language to get accurate and detailed answers.










