Qlik Predict

Qlik Predict

Last Updated

Overview

Qlik Predict empowers analysts to build accurate machine learning models and forecast business trends using no-code workflows. Although it offers fewer algorithm choices for niche use cases, its SHAP-based visualizations ensure high transparency. It is an ideal predictive solution for enterprises seeking scalable, data-driven operational insights.

Qlik Predict Specifications

  • Advanced Analytics And Forecasting
  • AI-Powered Insights
  • Machine Learning And AI Integration
  • Statistical Modelling

Qlik Predict Features

No-Code Model Creation

The software empowers users to build classification, regression, and time-series models quickly through an intuitive, guided workflow. This feature eliminates technical barriers, allowing business teams to generate accurate predictions without requiring data science expertise.

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Explainable AI With SHAP

This feature utilizes dynamic SHAP visualizations to provide deep transparency into the primary drivers behind every prediction generated. By explaining results clearly, the software helps organizations build internal trust and meet AI governance standards.

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Multivariate Time Series Forecasting

The software produces highly accurate business forecasts by automatically detecting seasonality and analyzing complex trends within diverse datasets. This capability ensures that predictive insights are refined and ready for immediate application in real-world scenarios.

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Continuous Learning And Adaptation

The software features self-tuning models that automatically adapt to changing inputs, user feedback, and new data streams over time. This ensures that forecasts remain accurate and relevant as market conditions evolve, minimizing manual maintenance.

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Operationalized Machine Learning

This platform allows users to embed predictions directly into dashboards and workflows to trigger automated alerts. By running what-if scenarios, teams can transform predictive insights into measurable outcomes and drive smarter, proactive decisions.

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Pros And Cons of Qlik Predict

Pros

  • Automates feature selection and model training

  • Quick model deployment and experiment execution

  • Accurate predictive insights for large datasets

Cons

  • Limited customization for advanced users

  • Model deployment tied to Qlik ecosystem

Qlik Predict Reviews

Total 1 reviews

5

All reviews are from verified customers

Rating Distribution

5

Stars

100%

4

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0%

3

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0%

2

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1

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Share your experience

A

Anonymous

Mid-Market, N/A employees

5.0
April 2025

“Versatile data integration boost”

Pros

It's been really helpful for my project when it comes to connecting with different data sources and turning everything into a usable dataset. We also rely on it for reporting and it handles that part well too.

Cons

Haven't noticed any drawbacks.

Rating Distribution

Ease of use

10

Value for money

10

Customer Support

9

Functionality

9

Frequently Asked Questions

Does Qlik Predict have a mobile app?

Yes, Qlik offers a mobile app.

What types of pricing plans does Qlik Predict offer?

Qlik Predict offers customizable AI/ML plans alongside Qlik Cloud Analytics tiers such as Starter ($200/month), Standard ($825/month), and Premium ($2,750/month). Get in touch for a personalized Qlik Predict price estimate.

What level of support does Qlik Predict offer?

Qlik Predict provides support via phone and contact form.

What language does Qlik Predict support?

The software is available in English, German, Spanish, French, Italian, Portuguese, and Japanese.

What other apps does Qlik Predict integrate with?

Qlik Predict supports integrations with Salesforce, Databricks, Azure, SAP, Snowflake, Google Cloud, and Palantir.

Who are the typical users of Qlik Predict?

Qlik Predict features make it ideal for teams in financial services, manufacturing, healthcare, consumer products, public sector, energy utilities, and retail, helping businesses leverage predictive analytics efficiently.

Does Qlik Predict offer an API?

The vendor has not specified any information regarding its API availability.