AUTOMATED DATA PROCESSING
Automate Data Workflows End-to-End with Qlik's Automated Data Processing Platform
Streamline your data workflows with intelligent automation. Integrate, transform, and deliver insights automatically to accelerate analytics and decision-making with minimal manual intervention.
Simplify complex data operations with intelligent automation
Eliminate manual data handling and accelerate time-to-insight with end-to-end automation that orchestrates data movement, transformation, quality checks, and delivery across your entire data ecosystem.
Integrate and process data automatically from any source
Connect to databases, applications, files, and APIs with automated pipelines that continuously ingest, validate, and process data without manual intervention or custom coding.
Eliminate manual ETL and accelerate time-to-insight
Replace time-consuming manual data preparation with automated workflows that cleanse, transform, and enrich data at scale, reducing weeks of work to hours or minutes.
Enable continuous analytics with data automation
Keep analytics platforms, dashboards, and AI models fed with current data through automated delivery pipelines that ensure downstream systems always have the information they need.
How does Qlik's automated data processing work?
Step 1 - Connect and ingest data from diverse sources
Step 2 - Automatically clean, transform, and standardize data
Step 3 - Deliver data to analytics, AI, and cloud systems
Step 4 - Orchestrate automated workflows and actions
Why Qlik automated data processing?
Intelligent automation that adapts to your data
Leverage machine learning to automatically recommend transformations, detect data quality issues, optimize pipeline performance, and adapt to changing data patterns without manual reconfiguration.
Complete transparency across automated workflows
Monitor every step of data processing with detailed lineage, audit trails, and quality metrics that provide visibility for troubleshooting while maintaining compliance with regulatory requirements.
Deploy automation anywhere in your infrastructure
Run automated data processing on supported platforms — public clouds, private data centers, or hybrid architectures—with consistent capabilities and centralized management regardless of deployment location.
Empower everyone to automate data workflows
Build automated pipelines through visual interfaces that require no coding, while providing scripting options for developers who need advanced customization and integration capabilities.
Proven reliability for business-critical automation
Join thousands of organizations that rely on Qlik's automation platform to eliminate manual data work, reduce errors, and ensure timely delivery of trusted data for critical decisions.
Key capabilities of Qlik's automated data processing platform
Automated data ingestion and pipeline orchestration
Schedule and coordinate complex data workflows with dependency management, parallel processing, and intelligent retry logic that maintains reliability without constant monitoring.
Intelligent workflow scheduling and error handling
Configure sophisticated scheduling based on time, events, or data availability, with automated error detection, notification, and recovery that minimizes pipeline failures and downtime.
Data transformation and delivery
Process and deliver data with minimal latency using streaming pipelines that apply transformations in motion, enabling insightful analytics without batch processing delays.
AI-assisted mapping, cleansing, and enrichment
Leverage machine learning to automatically match schemas, suggest transformations, identify quality issues, and enrich data with external sources based on intelligent pattern recognition.
Integration with Qlik Cloud and third-party BI tools
Connect seamlessly with Qlik's analytics platform and leading business intelligence tools through native integrations that simplify data delivery and enable unified analytics experiences.
Enterprise-grade security, audit, and governance
Protect sensitive data throughout automated processing with encryption, access controls, data masking, and comprehensive audit logging that supports compliance and security requirements.
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
Automated data processing FAQs
Our visual interface enables business users to create automated workflows without coding, while providing Python and SQL capabilities for technical users who need advanced customization.
Yes, our platform includes schema evolution detection that automatically adapts to new columns, changed data types, and structural modifications without breaking existing pipelines.
We use distributed processing, parallel execution, and incremental loading strategies that efficiently handle billions of records while maintaining performance and managing resource utilization.
The platform provides configurable error handling including automated retries, alerting, quarantine of problematic records, and detailed error logging that enables quick diagnosis and resolution.