QLIK AUTOML®

Drive Proactive Business Decisions with AI-Powered Predictive Analytics

Empower every analyst to transform historical data into future insights - no coding required.

Illustration of three stacked dashboards featuring predictive maintenance, customer segmentation, customer churn statistics to enable analysts to transform historical data into future insights.

Give analysts the power of predictive analytics

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Predict trends

Forecast future outcomes and identify opportunities using AI-powered models built on your historical data.

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Explain drivers

Understand the 'why' behind each prediction with clear, detailed breakdowns of influencing factors.

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Act confidently

Make data-driven decisions by exploring real-time 'what-if' scenarios and evaluating potential outcomes.

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Ensure transparency

Build trust across your organization with fully explainable AI models and interpretable results at every step.

Why Qlik AutoML?

Qlik AutoML offers unique advantages that set it apart from other predictive analytics solutions:

  • Associative AI integration: Uncover hidden insights and enhance model performance with Qlik's unique associative engine

  • End-to-end Qlik Cloud integration: Seamless workflow from data prep to prediction within the Qlik analytics platform

  • Full explainability and trust: Understand the 'why' behind every prediction with comprehensive model explainability

  • Comprehensive MLOps capabilities: Scale and govern your machine learning operations with confidence

An illustration depicting the capabilities of Qlik AutoML which includes Associative AI integration, end-to-end Qlik Cloud integration, full explainability and trust, and comprehensive MLOps capabilities.

Predict: Uncover future outcomes

Harness the power of your historical data to forecast what's coming next:

  • Forecast business metrics by understanding key drivers

  • Identify emerging opportunities and potential risks

  • Get actionable predictions in minutes, not months

A Qlik dashboard illustrating a company's customer segmentation, providing insights for customer churn prediction by interest rate and by product group.

Explain: Understand the ‘why’ behind predictions

Go beyond knowing what will happen to understanding why:

  • Receive clear explanations for each prediction using SHAP values

  • Identify the key factors influencing outcomes at the individual record level

  • Gain stakeholder trust with transparent, explainable AI decisions

  • Align predictive insights with business context and expertise

A software interface displaying SHAP importance scores, customer churn prediction influencers.

Act: Turn insights into impact

Transform predictions into actionable strategies: 

  • Explore 'what-if' scenarios in real-time using Qlik's Associative Engine

  • Test different parameters to evaluate potential outcomes

  • Determine the best course of action to influence results

  • Automate decision-making processes based on predictive insights

Illustration of a dashboard using Qlik's Associative Engine for exploring 'what-if' scenarios, test different parameters, determine the best course of action, and automate decision-making processes based on predictive insights.

The Qlik AutoML workflow: simplifying machine learning

Qlik AutoML transforms complex machine learning processes into a streamlined, intuitive workflow. Our unique approach empowers your team to go from raw data to actionable insights in six straightforward steps: 

A table displays customer data, including ID, gender, age, zip code, plan type, logins in the first month, average minutes logged in the first month, and churn status in the first year.

  1. Connect data: Easily integrate various data sources to build a comprehensive dataset. 

  2. Select target: Define your prediction goal with clarity and precision. 

  3. Generate model: Let our AI automatically create and optimize ML models tailored to your needs. 

  4. Predict outcomes: Apply your models to generate forward-looking predictions. 

  5. Explore drivers: Gain deep insights into the factors influencing your predictions. 

  6. Take action: Make informed decisions and implement strategies based on predictive insights. 

Throughout this process, our robust MLOps capabilities ensure your models stay reliable, relevant, and governed. With Qlik AutoML, you're unleashing your data's full potential, driving proactive decision-making across your organization. 

KEY RESOURCE

Qlik Trends ‘25: Navigating the post-AI landscape

Move forward and thrive amidst debate. In After AI: Reinventing Data, Insights, and Action Amidst the Noise, we reveal the top trends shaping the AI-in-data conversation.​

Qlik Trends ‘25: Navigating the post-AI landscape Background Image
A robotic face composed of pixelated images highlighting webinar themes and underlying trends that will dominate the AI conversation in 2025.

Unlock the power of predictive analytics across your organization

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Sales

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Marketing

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Finance

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Operations

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HR

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IT

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Supply Chain

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Service and Support

By building AI into everything they deliver, while still maintaining a cloud agnostic approach, Qlik is meeting customers where they are in their AI journey while providing the flexibility needed to expand AI where and how it makes sense.

Dan Vesset
Group Vice President, Analytics and Information Management Market Research & Advisory Practice, IDC
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Learn more about no-code machine learning

Start your predictive journey today

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