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

Gartner Magic Quadrant for Data Integration Tools grid showing leaders, challengers, niche players, and visionaries as of December 2024. Qlik is positioned in the Leader quadrant.

2024 Gartner® Magic Quadrant™ for Data Integration Tools

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.

A person uses a smartphone and writes on a graph on a screen, representing financial data analysis, with colorful stock market charts and numbers in the background.

Intuit Simplifies Analytics with a Company-wide Portal

View Customer Stories

Qlik virtual event - Data, Analytics, & AI Trends ‘25: Navigating the Post-AI Landscape

Data, Analytics, & AI Trends ‘25: Navigating the Post-AI Landscape

Get your bearings and find value in the post-AI landscape. In After AI: Reinventing Data, Insights, and Action Amidst the Noise, we reveal the top trends dominating the AI-in-data conversation.

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A blue book cover titled "Glossary" with circular graphic design elements in shades of blue and green.

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

View In Glossary

Insight to Impact: An AI-Powered Analytics Journey

What role do we humans play in a data landscape increasingly driven by AI? From data scientist to business analyst, get to know the story of analytics, where you fit in and where it can take you next.

This guide includes:

A reflection on the journey of analytics technology so far
Where AI is creating new roles, democratizing data and improving human decision-making
How AI and emerging technologies will further transform how humans engage with data

Download now and find out how to maximize the value of data – and the role of human decision-making – in line with AI-powered disruption.