As reported in 20 Qlik Predict reviews. Supports a variety of scripting environments
Data Mining
Mines data from databases and prepares data for analysis This feature was mentioned in 25 Qlik Predict reviews.
Algorithms
Based on 26 Qlik Predict reviews. Applies statistical algorithms to selected data
Data Analysis (2)
Analysis
Based on 31 Qlik Predict reviews. Analyzes both structured and unstructured data
Data Interaction
Interacts with data to prepare it for visualizations and models 31 reviewers of Qlik Predict have provided feedback on this feature.
Decision Making (4)
Modeling
As reported in 29 Qlik Predict reviews. Offers modeling capabilities
Data Visualizations
Creates data visualizations or graphs 30 reviewers of Qlik Predict have provided feedback on this feature.
Report Generation
Based on 29 Qlik Predict reviews. Generates reports of data performance
Data Unification
Based on 26 Qlik Predict reviews. Unifies information on a singular platform
Model Development (4)
Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 28 Qlik Predict reviews.
Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development This feature was mentioned in 29 Qlik Predict reviews.
Model Training
Supplies large data sets for training individual models 28 reviewers of Qlik Predict have provided feedback on this feature.
Feature Engineering
Based on 27 Qlik Predict reviews. Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (3)
Natural Language Processing
Offers natural language processing services 21 reviewers of Qlik Predict have provided feedback on this feature.
Natural Language Generation
Offers natural language generation services This feature was mentioned in 11 Qlik Predict reviews.
Natural Language Understanding
Offers natural language understanding services This feature was mentioned in 18 Qlik Predict reviews.
Deployment (3)
Managed Service
Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 27 Qlik Predict reviews.
Application
Based on 27 Qlik Predict reviews. Allows users to insert machine learning into operating applications
Scalability
Based on 28 Qlik Predict reviews. Provides easily scaled machine learning applications and infrastructure
System (1)
Data Ingestion & Wrangling
Based on 26 Qlik Predict reviews. Gives user ability to import a variety of data sources for immediate use
Generative AI (5)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text-to-Image
Provides the ability to generate images from a text prompt.
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Data Ingestion & Preparation - Low-Code Machine Learning Platforms (3)
Automatic Data Profiling & Quality Assessment
Analyzes incoming datasets to surface missing values, distributions, outliers, and data quality issues automatically
Multi‑Source Connector Support
Enables users to ingest data from diverse sources (databases, APIs, cloud storage, spreadsheets) without custom coding
Schema Drift / Change Detection
Automatically alerts users when incoming data’s schema deviates from expected structure over time
Model Construction & Automation - Low-Code Machine Learning Platforms (3)
Guided Algorithm & Hyperparameter Recommendation
Suggests or auto‑selects candidate algorithms and hyperparameters based on dataset characteristics
Code Extensibility
Allows users to insert custom code (e.g. Python, R, SQL) or custom modules into pipeline stages for flexibility
Automated Feature Engineering
Automatically proposes or applies derived features to improve model performance
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