Unlocking Enterprise AI: How Qlik and Snowflake Intelligence Empower Data-Driven Decisions
The enterprise AI landscape is transforming rapidly. On November 4th, Snowflake Intelligence—a breakthrough agentic AI platform built on the Cortex AI suite—ushers in a new era of business insights. With support for natural language querying (NLQ) and generation (NLG), organizations can interact with their data conversationally, unearthing real-time intelligence directly from complex, multimodal sources.
Snowflake Intelligence demands robust data integration and advanced analytics to deliver on the promise of Enterprise AI. That’s where Qlik’s market leading data integration, quality, governance, and advanced analytics capabilities complement Snowflake Intelligence.
Qlik + Snowflake: Delivers Enterprise AI
The Qlik Talend Cloud platform offers Qlik Replicate for real-time data ingestion, Talend for intelligent transformation and quality governance, Qlik Cloud Analytics for powerful BI visualizations, predictive analytics and more, all integrated with Snowflake Cortex & Snowflake Intelligence for generative AI. This partnership:
Democratizes data access across the enterprise
Add trust to the data foundation
Supercharges NLQ/NLG workflows
Powers advanced analytics with agility and scale
The result? Organizations gain a decisive edge by turning raw data into actionable insights faster than the competition.
Breaking Down Silos: Fueling Snowflake Intelligence with Qlik
Real-Time Data Integration with Qlik Talend Cloud
Every great AI solution is built on quality, timely data. Snowflake Intelligence requires unifying structured and unstructured sources—a challenge the Qlik platform is purpose-built to solve.
Qlik Talend Cloud delivers real-time, incremental updates from over 400 sources (e.g., SAP, Oracle, Salesforce, iSeries, Mainframe) directly into Snowflake using Change Data Capture (CDC). Benefits include:
Broader Connectivity: Handle heterogeneous environments—replicate SAP or legacy data on-prem or Cloud sources where native tools can’t.
Optimized for AI: Data lands “AI-ready”, scored and governed, powering smart functions like text summarization or sentiment detection with greater confidence.
Efficiency & Scalability: Reduce computing costs and scale to millions of changes per minute with performance-minded features, in-memory analytics, and ad-hoc queries.
Unlike batch-oriented ingestion, Qlik Replicate keeps your data fresh and your AI agents up to date while minimizing the impact on cost of storage and compute consumption.
No-Code Transformation with Qlik Talend Cloud
Once data is moved, it must be cleansed and enriched. Qlik Talend Cloud lets teams build no-code pipelines that automate transformation, quality, and compliance—preparing data for Snowflake Cortex and agentic AI.
Features include:
AI-Ready Prep: Automate bias reduction and normalization for robust RAG-based NLG.
End-to-End Governance: Ensure compliance and lineage to meet enterprise security standards.
Together, Qlik Replicate and Talend, part of the Qlik Talend Cloud platform, ensures that Snowflake Intelligence is always fueled by diverse, relevant, and high-quality data.
Unlocking Insights: Extending Snowflake Intelligence with Sophisticated Qlik Analytics
With data prepped and loaded, business value emerges from analytical insights.
Qlik Analytics connects natively to Snowflake, enabling advanced visualization of data enhancing Cortex AI. Key benefits:
Conversational Insights: Snowflake NLQ/NLG agents generate business summaries, indicating trends and predictions.
Advanced Analytics: Blend Cortex ML with Qlik in-memory analytics, enabling lightning-fast predictive models from textual or multimodal data.
Qlik Self-Service Analytics: Empower business users to explore, and act to build advanced visualizations — without code, create predictive models, with drill through for root cause analysis all without impacting Snowflake compute
Generative AI for Contextual Discovery
Qlik Analytics extends agentic AI with advanced capabilities that go beyond visualizations, into exploration for deeper more meaningful insights. It amplifies Snowflake Intelligence by providing:
Hybrid Workflows: Deep AI processing with easy, contextual explanations on-demand.
Rapid Deployment: Installs quickly, leverages your data lake, and reduces time-to-insight by 10x compared to black-box LLMs.
The Qlik + Snowflake Advantage: Actionable, AI-Powered Decisions
The combined Qlik Analytics-Snowflake stack empowers organizations to:
Harness true NLQ/NLG: Seamlessly turn questions into real, explainable answers for daily business operations.
Scale advanced analytics: Build predictive and prescriptive models from any data source, structured or unstructured without impacting Snowflake compute.
Realize rapid ROI: Reduce IT bottlenecks, accelerate decision cycles, and maintain enterprise-grade security.
Meet Alex Rivera, Senior Relationship Manager at a global bank institution:
8:30 AM—Client Overview:
Logs into Qlik Analytics. Instantly sees an Account Holder 360 dashboard—blending CRM, transactions with secure Mainframes, 3rd party credit history, and unstructured sentiment data into Snowflake—freshly synced by Qlik Replicate.
10:00 AM—Personalized Advice:
Prepping for a client meeting, Alex uses Snowflake Intelligence and asks: “Generate a financial plan for Jane Doe to reduce debt and grow savings.” The system delivers actionable, AI-generated recommendations—and Qlik Sense visualizes complex “what-if” model projections, enabling Alex to advise Jane in common language terms with visualizations they can explore together.
1:00 PM—Churn Risk Assessment:
Alex queries Snowflake Intelligence for real-time churn pattern recognition for his client lists. Cortex AI looks for pattern anomalies and makes suggestions that Alex can use to build a heatmap in Qlik Analytics and initiates proactive collaboration with colleagues to explore the root causes of the churn, drilling into the sources to address the churn risks with his clients.
3:00 PM—Team Collaboration:
Alex exports reports with embedded AI-generated insights for the team, showing which customers are at risk of churn and why, and evaluates which product introductions could be well timed to introduce to them — scaling personalized financial strategies across branches.
5:00 PM—Measuring Impact:
Client personalization engagement up 20% by using personalized, data-driven advice to increase product cross-sell that strengthens client relationships by proactively finding and addressing client satisfaction issues before it becomes a risk.
These are just a few examples that show how democratized, generative AI powered by Qlik Analytics and Snowflake can easily improve key aspects of the enterprise—from customer experience to operational efficiency.
Future-Ready AI for the Enterprise
By integrating Qlik’s real-time data integration, transformation, governance, and analytics with Snowflake’s intelligent AI agents, enterprises unlock seamless data access and transformative insights that can be trusted. The era of conversational analytics, advanced AI, and self-service business intelligence is here. Ready to get started?
Explore Qlik’s resources for Snowflake and request a demo today.