ExpertM & Qlik Integration
Instantly connect ExpertM to Qlik – or to any other BI tool. Combine your ExpertM data with other business systems for unified analytics and real-time insights in under 5 minutes.
- 5-minute setup
- GDPR compliant, EU-hosted
- SOC 2 Type II certified
Sync ExpertM to Qlik
The problems data and business teams tell us about, and how Peliqan solves each one
ExpertM
ExpertM is a SaaS application used in modern business operations, holding valuable data on customers, transactions, or workflows. Getting ExpertM data out for cross-source analytics typically requires custom scripts or one-off integration tools. Peliqan provides a managed ExpertM connector that syncs data into your warehouse automatically, unlocking cross-source reporting, AI use cases, and reverse ETL workflows.
Qlik
Qlik (Qlik Sense and QlikView) is a long-standing enterprise BI platform known for its associative data model, which lets users explore relationships across datasets without predefined drill paths. It is widely used in manufacturing, finance, and supply chain reporting. Peliqan provides the warehouse foundation Qlik needs through managed connectors and transformations.
Common ExpertM to Qlik use cases
More destinations for ExpertM
Send data out
Sync your ExpertM data into these databases and warehouses.
Instant Data Warehouse & Analytics
Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.
Built-in Data Warehouse
Your ExpertM data is stored in a high-performance built-in warehouse optimized for analytics. Run cross-source queries, create materialized views, and join datasets in real time.
One-Click BI Integration
Connect Qlik to the Peliqan data warehouse with a few clicks – no APIs or drivers to manage. Your ExpertM data is ready for dashboards and reports instantly.
AI-Powered SQL Analytics
Ask plain-English questions about your ExpertM data and get runnable SQL back. Write complex queries with AI assistance, or let the assistant write them for you.
RAG & AI Agents
Use Retrieval-Augmented Generation for knowledge lookups and text-to-SQL for analytics. Deploy AI agents that answer questions, produce SQL, or trigger actions in your apps.
Python Data Apps
Build interactive apps or run ML models on your ExpertM data before syncing into Qlik. Ideal for predictive metrics, churn scores, or anomaly detection in BI.
Data Sync & Activation
Push processed insights from Qlik dashboards back into ExpertM with writeback, or sync results to any other business app with a few lines of Python.
How to Connect ExpertM and Qlik
Authenticate your source (ExpertM)
via OAuth or API key – no complex setup.
1. Connect in 30 Seconds
Authenticate your source (ExpertM)
via OAuth or API key – no complex setup.
2. Data Flows Automatically
Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.
Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).
3. Query & Analyze
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
4. Activate Insights
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
5. Enable AI Agents
Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).
Beyond Simple Sync
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Cross-Database Queries
Join ExpertM with other sources using SQL, without complex ETL. Use federated queries to combine data in real time across databases.
Automated Data Transformations
Clean, transform, and enrich your ExpertM data with SQL or Python during the sync process. No separate ETL tools needed.
Extensive Connectivity
Connect to 300+ sources and business applications: from CRM to ERP, accounting and HRM/ATS. New connector delivery within 2 weeks.
Enterprise Security & Compliance
Security is our top priority. SOC 2 Type II certified, ISO 27001, GDPR compliant, with access controls and audit logging built in.
Historical Data & Time Travel
Set up history tables for ExpertM with SCD Type 2 tracking. Analyze trends and build point-in-time reports in Qlik.
Developer Platform
REST APIs, Python SDK, webhook support, and a custom connector framework for advanced use cases.
Technical Specifications
Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses. Load, transform and orchestrate data reliably with warehouse-native speed and security.
Supported Data Types
- All standard and custom object types from ExpertM
- Custom field mapping and transformation rules
- Automatic schema evolution and change detection
Performance & scale
- Handles millions of records with distributed processing
- Near real-time data sync for most object types
- 99.9% uptime SLA with redundant infrastructure
Security features
- End-to-end encryption in transit and at rest
- VPN tunnel support and on-premises agents
- Enterprise SSO integration available
SaaS Data Cockpit
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Built with enterprise-grade security and compliance.
Frequently asked questions
How do I connect ExpertM to Qlik?
Connect ExpertM in Peliqan via OAuth or API key. Your data syncs into the built-in data warehouse, and you connect Qlik to that warehouse with standard database credentials. The full setup takes around 5 minutes, no coding required.
Can I connect multiple ExpertM instances?
Yes, you can connect multiple instances of ExpertM and unify the data, or you can customize field mappings for each connection.
How often does the data sync?
You control the sync frequency. Choose from near real-time updates, every 15 minutes, hourly, daily, or custom schedules. Near real-time sync is available for most object types.
Can I transform data during the sync process?
Yes. Use SQL or low-code Python to clean, join and model your ExpertM data in the warehouse. SQL queries become new tables that you can use directly in Qlik for dashboards and reports.
Is there a limit on data volume?
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
What if I need a custom integration?
Our professional services team can build custom connectors and integrations, or you can build your own custom pipelines using the Python SDK and REST APIs.
Ready to see all your ExpertM data in Qlik?
Connect ExpertM to Qlik in minutes, and build the reports and dashboards your team actually needs.