AI Data Analysis Tools
Qlik Predict
Visit website- Introduction
- Qlik's AutoML product for building, explaining, and deploying predictive models and forecasts with no-code workflows.
- Added on
- 11/11/2026
- Pricing
- Not specified
- Official links
- Website, company & support ↗

PRODUCT OVERVIEW
What is Qlik Predict?
Qlik Predict is Qlik's predictive AI product within its analytics platform, focused on automated machine learning (AutoML). It automates data preparation, feature engineering, algorithm selection, hyperparameter tuning, and model validation so analysts and business users can build predictive models through no-code interfaces, while experienced data scientists work faster. Documented capabilities include classification and regression, time series forecasting, explainable AI with feature importance and SHAP, what-if analysis, and MLOps practices for deploying, monitoring, and maintaining models. Qlik positions it for use alongside Qlik analytics and data integration, with a free trial available to get started.
How to use Qlik Predict
- 1
Start a free trial
Use Qlik's free trial page to get started with Qlik's agentic analytics and data integration at no cost.
- 2
Prepare data and train a model
Use AutoML to automate data preparation, feature engineering, algorithm selection, hyperparameter tuning, and model validation.
- 3
Explain and explore predictions
Review feature importance and SHAP-based explanations, and run what-if analysis to test how input changes affect predicted outcomes.
- 4
Deploy and monitor
Apply MLOps practices such as deployment, versioning, performance monitoring, documentation, and retraining to keep models dependable.
Qlik Predict Features
Automated machine learning covering data preparation, feature engineering, algorithm selection, hyperparameter tuning, and model validation
No-code interfaces intended for analysts and business users
Classification and regression for supervised prediction tasks
Time series forecasting, including multivariate forecasting
Explainable AI with feature importance and SHAP-based explanations
What-if analysis for testing scenario changes against predictions
MLOps practices for deployment, versioning, monitoring, documentation, and retraining
Model drift detection through ongoing monitoring
Qlik Predict Use Cases
Predicting customer churn with classification models
Forecasting demand, revenue, or capacity with time series models
Explaining model predictions to support trust and governance
Testing pricing, staffing, or inventory scenarios with what-if analysis
Monitoring production models for drift and retraining on fresh data
Qlik Predict FAQs
Qlik Predict is Qlik's predictive AI product focused on automated machine learning, positioned within Qlik's analytics offerings.
AutoML automates data preparation, feature engineering, algorithm selection, hyperparameter tuning, and model validation.
The supplied FAQ states that many AutoML tools offer no-code interfaces so analysts and business users can build predictive models without writing code.
Classification predicts categories, regression predicts continuous numeric values, and time series forecasting predicts future values from time-ordered data.
Explainable AI methods show why a model made a prediction and which factors influenced it; feature importance and SHAP are documented techniques.
It explores how changing input variables affects a predicted outcome, letting users compare scenarios before deciding.
MLOps practices cover deployment, versioning, performance monitoring, documentation, and retraining; drift monitoring helps detect accuracy decline.
Qlik offers a free trial to get started with its agentic analytics and data integration; the supplied pages do not list Qlik Predict plan prices.
Qlik Predict Official Information
- Company
- Qlik
- Website
- https://qlik.com/us/da/products/qlik-predict
- Documentation
- https://help.qlik.com/en-US
- Contact
- https://www.qlik.com/us/contact-us
Qlik Predict Pricing
Official pricing checked 2026-11-10. Premium includes predictive analytics powered by automated machine learning and starts with 50 GB data for analysis. This is the containing analytics platform plan, not a standalone Predict license. Additional capacity costs extra.
Enterprise
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