DATA PROFILING
Improve Data Quality and Trust With Qlik's Data Profiling Solutions
Improve data quality with Qlik's automated data profiling solutions. Detect issues, validate datasets, and ensure analytics-ready data across your systems.
Understand, analyze, and validate data with automated profiling
Don't let bad data ruin your insights. Automatically scan and validate your data assets to ensure accuracy and completeness.
Quickly detect anomalies, inconsistencies, and missing values
Spot nulls, outliers, and formatting errors instantly so you can fix them before they impact downstream reporting.
Automate data quality checks across systems and pipelines
Replace manual spot-checking with automated profiling rules that run continuously across your data landscape.
Ensure reliable, analytics-ready data for confident decisions
Deliver datasets that have been vetted and validated, giving business users full confidence in their analytics.
How Qlik's data profiling solutions work
Step 1 – Connect and scan data from supported sources
Step 2 – Automatically profile structure, patterns, and completeness
Step 3 – Flag data issues and recommend quality improvements
Step 4 – Monitor data quality continuously across the business
Why choose Qlik for data profiling?
Know your data
Automatically discover metadata, relationships, and quality metrics across multiple sources without manual intervention.
Fix before you load
Identify and resolve data quality issues at the source or during ingestion, preventing pollution of your data warehouse.
See the health of your data
Use intuitive visual histograms and frequency distributions to understand data shape and health at a glance.
Key capabilities of Qlik's data profiling solutions
Statistical analysis
Automatically calculate min/max, averages, standard deviations, and other key statistics for every field.
Pattern recognition
Detect format violations in phone numbers, emails, and dates using intelligent pattern matching.
Duplicate detection
Identify potential duplicate records or fuzzy matches that clutter your database.
Relationship discovery
Automatically infer relationships and join keys between different tables and datasets.
Null and empty value tracking
Pinpoint fields with missing data to assess completeness and potential impact on analysis.
Continuous monitoring
Set thresholds for data quality metrics and receive alerts when data falls below acceptable standards.
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 profiling FAQs
Qlik supports profiling for a vast array of sources including relational databases, flat files, cloud storage, and SaaS applications.
While you can profile manually, Qlik specializes in automated profiling that scans data as it arrives to provide up-to-date quality metrics.
By identifying sensitive data patterns (like PII) and ensuring data accuracy, profiling is a critical first step in meeting GDPR and CCPA requirements.