Why Qlik?

Integrate, transform, analyze, and act on data

Qlik Staige
Bring your AI strategy to life with a trusted data foundation and actionable predictions
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Integrations & Connectors

Integrations & Connectors

Connect and combine data from hundreds of sources

Featured Technology Partners

Data Integration and Quality

Build a trusted data foundation

Core Capabilities

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Modern DataOps: Qlik's Data Integration

Analytics

Take action with AI-powered insight

Core Capabilities

Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms grid showing Qlik in the Leader quadrant.

2024 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms

AI/ML

Maximize the value of your data with AI

Core Capabilities

The AI Reality Tour - Qlik Event

Qlik AI Reality Tour

All Data Integration and Quality Products

All Analytics Products

All AI/ML Products

Data Integration and Quality Pricing

Rapidly deliver trusted data to drive smarter decisions with the right data integration plan.

Analytics Pricing

Deliver better insights and outcomes with the right analytics plan.

AI/ML Pricing

Build and deploy predictive AI apps with a no-code experience.

Qlik blog post titled "Which AI Should I Use? A Guide for Enterprise Decision Makers" by Nick Magnuson, Head of AI at Qlik.

Executive Insights and Trends

Which AI Should I Use? A Guide for Enterprise Decision Makers

Unlock the full potential of AI by understanding the distinct powers of predictive and generative AI—empowering your organization to make smarter decisions.

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Intuit Simplifies Analytics with a Company-wide Portal

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Gartner IT Symposium

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AI analytics refers to the use of machine learning to automate processes, analyze data, derive insights, and make predictions or recommendations.

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Adam Mayer

Qlik Technical Product Marketing Director, avid follower of new technology with a deep fascination of all things IoT and data analytics. My first Qlik Sense app tracked my spend on car fuel where I geeked out on the rise and fall of pricing data.