Qlik Compose

Allows users to build and deploy machine learning models without writing any code.

Helps teams build accurate models quickly for various business outcomes.

Supports predicting outcomes like churn (e.g., classifying customers who will churn).

Supports predicting values like revenue.

Supports forecasting trends over time, including multivariate time series.

Guides users through the model creation process, handling complexity automatically.

Automatically chooses the most suitable model based on the input data.

Provides tools to gain insights into what drives predictions.

Facilitates the deployment of predictions into actionable workflows.

Aims to deliver quicker and more intelligent predictive insights.

Designed to scale predictive capabilities across an entire organization.

Makes predictive analytics accessible without requiring advanced technical skills.

Generates forecasts that are immediately usable for real-world business actions.

Identifies and accounts for seasonal patterns in time series data.

Analyzes and predicts trends in data over time.

Deploys predictions directly into Qlik Cloud dashboards and applications.

Allows tracking the performance of deployed models.

Enables automating decisions based on predictive insights across departments.

Uses dynamic SHAP visualizations to explain the drivers behind each prediction in real-time.

Tracks model creation, training data, and evolution with automated documentation and auditability.

Models adapt to changing inputs, user feedback, and new data automatically.

Reduces the time from data to deployable predictive models from months to hours.

Empowers analysts and business users, not just data scientists, to create and manage models.

Shifts organizations from reactive reporting to forward-looking, proactive actions.

Easily integrates various data sources using Qlik Data Flow for unification and preparation.

Allows for quick and precise iteration and refinement of data for optimal model performance.

Users select the target variable that aligns with their business objectives.

Automatically creates tailored ML models using guided workflows, allowing fine-tuning of algorithms while simplifying development.

Applies trained models to generate reliable predictions for future trends and events.

Uncovers key factors influencing predictions using explainable AI visuals.

Builds trust and optimizes strategies based on meaningful insights derived from data transparency.

Embeds predictive insights into existing workflows to drive smarter decisions with automation and real-time analytics integration.

Provides a comprehensive environment from raw data to predictions.

Automates steps in data preparation and model creation.

Delivers insights directly into the user's working environment (e.g., dashboards).

Utilizes Qlik Data Flow for unifying and preparing datasets.