DATA QUALITY SOFTWARE
Ensure Trusted, High-Quality Data with Qlik's Data Quality Software
Ensure accurate, consistent, and analytics-ready data with Qlik's data quality software that cleans, validates, and governs data across all your systems in real time.
Deliver clean, reliable data for confident decision-making
Transform data quality challenges into competitive advantages with enterprise-grade software that improves trust and accuracy across all your data assets.
Detect and resolve data errors at scale
Automatically identify data quality issues, anomalies, and inconsistencies across massive datasets with AI-powered profiling and validation capabilities.
Ensure consistency across systems and formats
Standardize data formats, resolve duplicates, and harmonize data across disparate systems to create a single source of truth for your organization.
Build trust with governed, analytics-ready data
Deliver clean, validated data to analytics and AI tools with comprehensive governance frameworks that maintain quality and compliance standards.
How does Qlik's data quality platform work?
Step 1 - Ingest data from any source or system
Step 2 - Profile, cleanse, and standardize data automatically
Step 3 - Apply business rules and data validation checks
Step 4 - Deliver high-quality data to BI, analytics, and AI tools
Why choose Qlik for data quality management?
Enterprise-grade capabilities designed for comprehensive data quality
Built-in governance, lineage, and impact analysis
Maintain control over data quality with automated lineage tracking, impact analysis, and governance frameworks that ensure trust across the enterprise.
Scalable across cloud, on-prem, and hybrid environments
Deploy and scale data quality processes across any infrastructure with unified management and consistent quality policies across all environments.
User-friendly interface for business and IT teams
Enable both technical and non-technical users with intuitive interfaces for data profiling, rule creation, and quality monitoring without requiring coding expertise.
AI-powered rules and auto-detection of anomalies
Leverage machine learning algorithms to automatically detect data quality issues, suggest corrections, and continuously improve quality processes over time.
Trusted by global enterprises for critical data operations
Join organizations that rely on Qlik for mission-critical data quality with proven reliability, scalability, and performance at enterprise scale.
Key capabilities of Qlik's data quality software
Comprehensive data quality capabilities for enterprise requirements
Automated data profiling and cleansing
Automatically profile data sources to identify quality issues and apply intelligent cleansing rules that improve data accuracy and consistency.
Business rule validation and quality scoring
Define and enforce custom business rules with automated validation and quality scoring that provides transparency into data health.
Duplicate detection and record matching
Identify and resolve duplicate records across systems with advanced matching algorithms and configurable merge strategies.
Support for structured and unstructured data
Handle diverse data types including structured databases, semi-structured files, and unstructured content with unified quality processes.
Self-service quality dashboards and alerts
Monitor data quality in real-time with interactive dashboards and automated alerts that notify teams when quality thresholds are breached.
Enterprise-grade security and data lineage tracking
Maintain comprehensive security controls and data lineage tracking that provides complete visibility into data quality processes and transformations.
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 quality
Data quality software FAQs
Our platform supports both pre-built and custom validation rules with a visual rule builder, allowing you to define complex business logic, cross-field validations, and conditional checks without requiring coding expertise.
Yes, our AI-powered engine automatically profiles data to identify quality issues, suggests appropriate cleansing actions, and can apply automated fixes based on configurable rules and machine learning algorithms.
We provide native connectivity to over 500 data sources and can integrate seamlessly with existing ETL tools, data lakes, warehouses, and analytics platforms through APIs and standard connectors.
Our platform provides comprehensive quality dashboards with metrics including completeness, accuracy, consistency, validity, and timeliness, along with customizable reports and automated quality scorecards.