Qlik AI

What is Qlik AI?

Qlik AI is the artificial intelligence layer integrated into the Qlik analytics platform, a leader in associative analytics and business intelligence. Qlik's unique associative engine allows users to explore data freely without predefined query paths, discovering insights they might not have thought to look for. The AI features enhance this with intelligent insights, natural language interaction, and automated data preparation that make analytics more powerful and accessible.

Qlik AI includes Insight Advisor for automated insight generation that analyzes data and surfaces key findings with natural language explanations, natural language querying that allows users to ask questions in plain English and receive visual answers, AI-powered data preparation that suggests data transformations, associations, and cleaning steps, associative anomaly detection that identifies unusual data patterns across connected data sources, and predictive analytics that forecast future trends based on historical data patterns.

How It Works

Qlik AI analyzes data within the Qlik associative engine, which indexes all data relationships to enable free-form exploration. The Insight Advisor continuously analyzes data and proactively surfaces insights, trends, and anomalies without user prompting. When users ask questions in natural language, the AI interprets the query, navigates the associative data model, and presents results as appropriate visualizations.

The AI also assists with data preparation by analyzing source data and suggesting optimal data models, associations, and transformations. All AI insights are presented within the Qlik interface alongside traditional analytics tools.

Key Features

• Insight Advisor: Automated AI-powered analysis and insight generation with natural language explanations.
• Natural Language Querying: Ask data questions in plain English and receive instant visual answers and analysis.
• AI Data Preparation: Smart suggestions for data cleaning, transformation, and model optimization.
• Anomaly Detection: AI identification of unusual patterns, outliers, and correlations across connected data.
• Predictive Analytics: AI-driven forecasting, trend analysis, and what-if scenario modeling.
• Associative Engine: Unique data exploration without predefined query paths or limitations.
• Augmented Analytics: AI-enhanced dashboards with contextual insights and recommendations.

Who Should Use It

Qlik AI is designed for data analysts, business intelligence professionals, and business users who want to explore data freely and discover insights they might not have thought to look for. It is particularly valuable for organizations that need associative data exploration capabilities across multiple data sources.

Pricing

Qlik offers tiered pricing starting at approximately $30/month per user for Qlik Sense Business. Enterprise plans with advanced AI features, dedicated infrastructure, and premium support are available for larger organizations with complex requirements.

Pros & Cons

Pros: Unique associative analytics engine enables free-form data exploration without limitations. AI features are well-integrated and accessible from the main interface. Strong data preparation and data modeling capabilities. Good for complex data analysis across multiple connected sources.

Cons: Pricing can be expensive compared to some competitors. Learning curve for the associative analytics approach differs from traditional BI tools. Smaller community and ecosystem than Tableau or Power BI. Performance optimization requires expertise for large-scale deployments.

Alternatives

Tableau AI: Visual analytics platform with Einstein AI features and broader community. Power BI AI: Microsoft's BI platform with AI-powered analytics and Office 365 integration. Looker Studio AI: Free BI platform with Google integration and AI-assisted insights. View Qlik AI on PureAINav.