DATA MINING SOFTWARE
Discover Hidden Patterns with Qlik's Data Mining Software
Discover deep insights with Qlik's data mining software. Leverage advanced data exploration, predictive modeling, and self-service analytics to uncover meaningful patterns.
Uncover actionable insights with intelligent pattern detection and analytics
Transform raw data into strategic intelligence with data mining software that combines advanced algorithms, predictive modeling, and intuitive exploration to reveal hidden opportunities.
Explore complex relationships with predictive modeling
Build and deploy predictive models that identify patterns, forecast trends, and reveal relationships within your data using accessible tools designed for both analysts and data scientists.
Automate feature discovery and anomaly detection at scale
Leverage machine learning algorithms that automatically identify relevant features, detect unusual patterns, and surface anomalies that signal opportunities or risks requiring attention.
Drive data-driven decisions with trusted, interpretable insights
Generate actionable recommendations with transparent models that business users can understand, trust, and act upon confidently without requiring deep technical expertise.
How does Qlik's data mining platform work?
Step 1 - Connect and prepare data from multiple sources
Step 2 - Explore and select features with automated guidance
Step 3 - Build, train, and validate predictive models
Step 4 - Deploy models and share insights across the business
Why Qlik data mining software?
Enterprise-grade capabilities designed for predictive analytics
Enterprise-grade governance and model transparency
Maintain full model lineage with version control, audit trails, and explainability features that ensure compliance while building trust with business stakeholders.
Scalable architecture across cloud and on-premises environments
Process massive datasets efficiently with distributed computing capabilities that work across your existing infrastructure without requiring specialized hardware investments.
User-friendly interface for analysts and data scientists
Serve diverse skill levels with visual model builders for business analysts alongside advanced coding environments for data scientists using Python or R.
Built for both technical and business users
Enable self-service analytics where business users explore patterns while data scientists build sophisticated models, all within a unified collaborative platform.
Proven results in enterprise predictive use cases
Deliver measurable impact across customer churn prediction, fraud detection, demand forecasting, and other critical business scenarios with production-tested algorithms.
Key capabilities of Qlik's data mining software
Comprehensive mining capabilities for predictive analytics
Automated feature engineering and selection
Accelerate model development with intelligent algorithms that automatically generate, evaluate, and select the most predictive features from your raw data.
Wide variety of predictive modeling techniques
Access comprehensive algorithm libraries including decision trees, neural networks, ensemble methods, clustering, and association rules for diverse analytical needs.
Model evaluation, visualization and interpretability tools
Assess model performance with comprehensive metrics, confusion matrices, and ROC curves while explanation features make complex models understandable to business users.
Deployable models and scoring pipelines
Operationalize predictive models quickly with automated scoring workflows that integrate seamlessly into existing business processes and decision systems.
Integration with self-service dashboards
Embed predictive insights directly into interactive analytics dashboards where users can explore model outputs and understand the factors driving predictions.
Security, versioning, and audit logging
Protect sensitive data with role-based access controls while comprehensive versioning and audit trails ensure governance and enable model reproducibility.
Trusted by leading enterprises worldwide
What our customers say
We needed to consolidate data in one place, from heterogeneous sources, updated in almost real-time. That’s what Qlik enables for us.
Connect to 500+ data sources with Qlik’s analytics integrations
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Resources to help you succeed with data mining
Data mining software FAQs
Our platform includes extensive algorithm libraries covering classification, regression, clustering, association rules, time series forecasting, anomaly detection, and neural networks, with both automated and customizable options.
Yes, we provide guided workflows with automated feature selection, model recommendations, and plain-language explanations that enable business analysts to perform sophisticated analysis without coding expertise.
We implement automatic cross-validation, train-test splitting, and ensemble methods while providing comprehensive performance metrics and validation tools to ensure models generalize well to new data.
Yes, our platform supports Python and R integration, allowing data scientists to leverage their existing code, libraries, and workflows while benefiting from our data preparation and deployment capabilities.