• Qlik AutoML AI

  • Qlik AutoML empowers analytics teams to build and deploy machine-learning models without coding. It provides predictive forecasts, explainable insights into what drives outcomes, and real-time scenario testing all within the Qlik ecosystem.

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About Tool

Qlik AutoML is designed to democratize predictive analytics for business users like analysts and decision-makers—not just data scientists. Integrated directly into Qlik Cloud, it allows users to connect their data, define a prediction target, generate and optimize models automatically, and gain clear insights into key influencing factors. Users can explore what-if scenarios in real time, deploy models seamlessly within dashboards, and monitor performance with built-in MLOps features. This makes it easier to act on predictive insights across departments and workflows.

Key Features

  • No-Code Model Building: Auto-generate prediction models without any programming.
  • Explainable AI: Understand key drivers behind each prediction with clear breakdowns.
  • What-If Analysis: Test scenarios in real time directly within dashboards.
  • Full Qlik Integration: Use within Qlik Sense and Qlik Cloud seamlessly.
  • MLOps Support: Includes version control, model monitoring, retraining, and governance.

Pros:

  • Makes predictive modeling accessible to non-technical users.
  • Drives transparency through model explainability.
  • Tight integration with Qlik analytics environment.
  • Supports governance and automated model lifecycle management.

Cons:

  • Only available to Qlik Cloud and Sense Enterprise SaaS customers (not in every tier).
  • Paid feature usage and deployment rely on subscription level and limits.
  • Model outputs depend on the quality and structure of input data.

Who is Using?

  • Business Analysts & Product Managers: Want quick predictive insights without coding.
  • Marketing, Sales & Finance Teams: Use for forecasting, churn analysis, financial planning.
  • Operations & Supply Chain Planners: For demand forecasting, maintenance prediction, hiring strategy.
  • Small to Medium Enterprises: That lack dedicated data science teams but need actionable predictions.

Pricing

  • AutoML is included in various Qlik Cloud and Sense Enterprise SaaS subscriptions, with a free allowance of experiments and deployed models, while higher usage or advanced capacities unlock via paid tiers.

What Makes It Unique?
Rather than requiring specialized data science skills or external tools, Qlik AutoML embeds machine learning into the familiar Qlik interface. The combination of predictive modeling, explainable insights, and real-time scenario testing sets it apart as an analytics-first AutoML solution.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ (4/5) – Simple interface, but requires Qlik familiarity and subscription setup.
  • Features: ⭐⭐⭐⭐☆ (4/5) – Strong predictive, explainability, and governance features; limited customization.
  • Value for Money: ⭐⭐⭐⭐☆ (4/5) – Valuable for Qlik users; may be costly for infrequent users.

Qlik AutoML AI brings predictive power directly to business users within the Qlik environment. It enables teams to generate forecasts, understand their drivers, and act confidently without coding or external tools. If you're already using Qlik and want to scale data-driven decisions with transparency and governance, it's a smart, practical addition to your analytics toolkit.

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Qlik AutoML AI

About Tool

Qlik AutoML is designed to democratize predictive analytics for business users like analysts and decision-makers—not just data scientists. Integrated directly into Qlik Cloud, it allows users to connect their data, define a prediction target, generate and optimize models automatically, and gain clear insights into key influencing factors. Users can explore what-if scenarios in real time, deploy models seamlessly within dashboards, and monitor performance with built-in MLOps features. This makes it easier to act on predictive insights across departments and workflows.

Key Features

  • No-Code Model Building: Auto-generate prediction models without any programming.
  • Explainable AI: Understand key drivers behind each prediction with clear breakdowns.
  • What-If Analysis: Test scenarios in real time directly within dashboards.
  • Full Qlik Integration: Use within Qlik Sense and Qlik Cloud seamlessly.
  • MLOps Support: Includes version control, model monitoring, retraining, and governance.

Pros:

  • Makes predictive modeling accessible to non-technical users.
  • Drives transparency through model explainability.
  • Tight integration with Qlik analytics environment.
  • Supports governance and automated model lifecycle management.

Cons:

  • Only available to Qlik Cloud and Sense Enterprise SaaS customers (not in every tier).
  • Paid feature usage and deployment rely on subscription level and limits.
  • Model outputs depend on the quality and structure of input data.

Who is Using?

  • Business Analysts & Product Managers: Want quick predictive insights without coding.
  • Marketing, Sales & Finance Teams: Use for forecasting, churn analysis, financial planning.
  • Operations & Supply Chain Planners: For demand forecasting, maintenance prediction, hiring strategy.
  • Small to Medium Enterprises: That lack dedicated data science teams but need actionable predictions.

Pricing

  • AutoML is included in various Qlik Cloud and Sense Enterprise SaaS subscriptions, with a free allowance of experiments and deployed models, while higher usage or advanced capacities unlock via paid tiers.

What Makes It Unique?
Rather than requiring specialized data science skills or external tools, Qlik AutoML embeds machine learning into the familiar Qlik interface. The combination of predictive modeling, explainable insights, and real-time scenario testing sets it apart as an analytics-first AutoML solution.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ (4/5) – Simple interface, but requires Qlik familiarity and subscription setup.
  • Features: ⭐⭐⭐⭐☆ (4/5) – Strong predictive, explainability, and governance features; limited customization.
  • Value for Money: ⭐⭐⭐⭐☆ (4/5) – Valuable for Qlik users; may be costly for infrequent users.

Qlik AutoML AI brings predictive power directly to business users within the Qlik environment. It enables teams to generate forecasts, understand their drivers, and act confidently without coding or external tools. If you're already using Qlik and want to scale data-driven decisions with transparency and governance, it's a smart, practical addition to your analytics toolkit.

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Product Video

Qlik AutoML AI

About Tool

Qlik AutoML is designed to democratize predictive analytics for business users like analysts and decision-makers—not just data scientists. Integrated directly into Qlik Cloud, it allows users to connect their data, define a prediction target, generate and optimize models automatically, and gain clear insights into key influencing factors. Users can explore what-if scenarios in real time, deploy models seamlessly within dashboards, and monitor performance with built-in MLOps features. This makes it easier to act on predictive insights across departments and workflows.

Key Features

  • No-Code Model Building: Auto-generate prediction models without any programming.
  • Explainable AI: Understand key drivers behind each prediction with clear breakdowns.
  • What-If Analysis: Test scenarios in real time directly within dashboards.
  • Full Qlik Integration: Use within Qlik Sense and Qlik Cloud seamlessly.
  • MLOps Support: Includes version control, model monitoring, retraining, and governance.

Pros:

  • Makes predictive modeling accessible to non-technical users.
  • Drives transparency through model explainability.
  • Tight integration with Qlik analytics environment.
  • Supports governance and automated model lifecycle management.

Cons:

  • Only available to Qlik Cloud and Sense Enterprise SaaS customers (not in every tier).
  • Paid feature usage and deployment rely on subscription level and limits.
  • Model outputs depend on the quality and structure of input data.

Who is Using?

  • Business Analysts & Product Managers: Want quick predictive insights without coding.
  • Marketing, Sales & Finance Teams: Use for forecasting, churn analysis, financial planning.
  • Operations & Supply Chain Planners: For demand forecasting, maintenance prediction, hiring strategy.
  • Small to Medium Enterprises: That lack dedicated data science teams but need actionable predictions.

Pricing

  • AutoML is included in various Qlik Cloud and Sense Enterprise SaaS subscriptions, with a free allowance of experiments and deployed models, while higher usage or advanced capacities unlock via paid tiers.

What Makes It Unique?
Rather than requiring specialized data science skills or external tools, Qlik AutoML embeds machine learning into the familiar Qlik interface. The combination of predictive modeling, explainable insights, and real-time scenario testing sets it apart as an analytics-first AutoML solution.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ (4/5) – Simple interface, but requires Qlik familiarity and subscription setup.
  • Features: ⭐⭐⭐⭐☆ (4/5) – Strong predictive, explainability, and governance features; limited customization.
  • Value for Money: ⭐⭐⭐⭐☆ (4/5) – Valuable for Qlik users; may be costly for infrequent users.

Qlik AutoML AI brings predictive power directly to business users within the Qlik environment. It enables teams to generate forecasts, understand their drivers, and act confidently without coding or external tools. If you're already using Qlik and want to scale data-driven decisions with transparency and governance, it's a smart, practical addition to your analytics toolkit.

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