The Future of AI-Driven Analytics: Qlik Sense Powered by Snowflake Cortex AI

The Shift to AI-Driven Analytics

While Qlik Sense delivers powerful dashboards, Snowflake Cortex AI becomes the intelligence layer of the analytics ecosystem.

Instead of users manually exploring reports, they can ask questions like:

  • “Which products are experiencing declining margins?”
  • “Why did sales drop in the Northeast region?”
  • “Summarize the pricing strategy discussed in our documents.”

The system can interpret the question, analyze relevant data, and return a clear answer with supporting insights.

This represents a major shift:

Traditional Analytics AI-Driven Analytics
Static dashboards Conversational analytics
Manual exploration AI-guided insights
Structured data only Structured + unstructured
Human analysis AI reasoning + human decisions

This is where Snowflake Cortex AI becomes a powerful complement to the Qlik Sense platform.

Snowflake Cortex AI: Bringing Intelligence to Data

Snowflake Cortex AI provides a set of AI services built directly into the Snowflake Data Cloud. These services allow applications such as Qlik Sense to access AI capabilities without moving data outside the platform.

The key components include:

  • Cortex Analyst
  • Cortex Search
  • Cortex Agents

Cortex Analyst

Cortex Analyst translates natural language questions into SQL queries using semantic models that define business metrics and relationships. This capability allows business users to ask analytical questions without needing to write SQL.

Example:
“Show revenue by product category for the past 12 months.”

Cortex Analyst generates the appropriate SQL query, executes it in Snowflake, and returns the results.

Cortex Search

Cortex Search enables retrieval across unstructured data, such as:

  • documents
  • PDFs
  • JSON files
  • logs
  • messages

This allows organizations to combine traditional analytics with retrieval-augmented generation (RAG), enabling AI to reference enterprise knowledge sources when answering questions.

Cortex Agents

Cortex Agents provide the AI orchestration layer that coordinates multiple tools to answer complex questions.

An agent can:

  • Analyze the user’s prompt
  • Determine which tools to use
  • Call Cortex Analyst for structured data
  • Call Cortex Search for document retrieval
  • Invoke custom tools or APIs
  • Combine results into a single answer

This enables multi-step reasoning and more advanced analytical insights.

Integrating Qlik Sense with Snowflake AI

In this architecture, Qlik Sense remains the primary analytics interface for business users, while Snowflake provides the AI capabilities behind the scenes.

Business users interact with dashboards in Qlik just as they always have. However, they can now also ask questions directly within the dashboard environment. These prompts are sent to Snowflake’s AI services, which analyze the request and return insights back to Qlik.

This approach allows organizations to introduce AI-driven analytics while maintaining the familiar Qlik experience for business users.

Qlik Sense and Snowflake AI Workflow Architecture

Business users interact with Qlik Sense dashboards, while Snowflake Cortex AI provides the intelligence layer behind the scenes. Cortex Agents orchestrate services such as Cortex Analyst and Cortex Search to analyze both structured and unstructured data, generating insights that are returned directly to the Qlik dashboard.

This architecture brings together the strengths of both platforms:

  • Qlik provides the interactive analytics experience
  • Snowflake provides the data platform and AI intelligence
  • Cortex services provide natural language analytics and reasoning

Together, these technologies enable organizations to evolve from dashboard-centric analytics to AI-driven decision platforms, where business users can explore data conversationally and uncover insights faster.

Example: Qlik and Snowflake Cortex Agents Integration

The following demo illustrates how Qlik Analytics Cloud can integrate with Snowflake Cortex Agents to enable conversational analytics workflows.

Video credit: Qlik / Snowflake demo

👉 https://www.youtube.com/watch?v=xFwc5Fvs-i0

This example demonstrates how a user can submit a question through a Qlik interface while Snowflake Cortex Agents orchestrate services such as Cortex Analyst and Cortex Search to generate insights.

Benefits

The Qlik Sense BI platform integrating Snowflake Cortex AI offers several advantages.

Conversational Analytics

Business users can interact with data using natural language instead of navigating multiple dashboards.

Unified Data and AI Platform

Structured data, documents, and operational information can all be analyzed through a single platform.

Scalable AI Infrastructure

Snowflake handles the compute and AI model execution, eliminating the need to build separate AI infrastructure.

Enhanced Business Insights

By combining analytics with AI reasoning, organizations can uncover insights faster and support better decision making.

Final Thoughts

The future of analytics is not just about better dashboards; rather, it revolves around about intelligent systems that help organizations understand their data faster and more deeply.

For organizations looking to evolve their analytics strategy, integrating Qlik Sense with Snowflake Cortex AI offers a practical path toward building a future-ready AI analytics platform.

Our team helps organizations modernize their analytics platforms and build AI-driven analytics ecosystems powered by Snowflake and Qlik. Contact us today for a free consultation to learn more.