DATA QUALITY MANAGEMENT
Ensure Trusted, High-Quality Data With Qlik's Data Quality Management System
Improve accuracy and trust with Qlik's Data Quality Management System. Clean, validate, and govern data to power consistent, analytics-ready insights.
Deliver accurate, governed data across your enterprise
Stop bad data from breaking your reports. Implement a system that enables data integrity at the source.
Identify and resolve data issues across all sources
Proactively detect anomalies, duplicates, and errors across your entire data landscape before they impact downstream systems.
Automate data cleansing and standardization at scale
Replace manual fixing with automated rules that standardize formats and correct values continuously.
Improve analytics accuracy with governed, validated data
Ensure that business decisions are based on data that has been certified, validated, and proven accurate.
How Qlik's data quality management system works
Step 1 – Connect and profile data from any source
Step 2 – Clean, standardize, and validate data
Step 3 – Apply rules, AI-powered quality checks, and business logic
Step 4 – Monitor quality health scores via dashboards
Why choose Qlik for data quality management?
Trust you can verify
Implement a robust framework for data stewardship that ensures accountability and transparency in data quality operations.
Quality without borders
Enforce consistent quality standards across distributed teams and hybrid infrastructure without performance degradation.
Smarter remediation
Use AI and natural language to define quality rules and automate the resolution of common data errors.
Key capabilities of Qlik's data quality management system
Automated data cleansing, matching, and standardization
Automatically deduplicate records and standardize fields like names, addresses, and product codes.
Intelligent validation and predictive data quality modeling
Use machine learning to predict potential quality issues based on historical patterns.
Natural language queries and AI-driven quality insights
Empower data stewards to investigate data issues using simple conversational queries.
Data profiling
Instantly assess the health of your data with visual statistics on completeness, uniqueness, and distribution.
Trust scores
Assign validity scores to datasets so users know exactly how reliable their data is.
Firewall for data
Prevent bad data from entering your analytics platforms by validating it at the point of ingestion.
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
Data quality management FAQs
Yes, Qlik allows you to apply validation and cleansing rules to data in-flight, ensuring real-time streams are trusted.
Absolutely. Every change made to data is logged, providing a complete audit trail for compliance and root cause analysis.
AI helps by automatically detecting anomalies that manual rules might miss and suggesting remediation logic for unmatched records.