Kondado helps business teams replicate their VTEX store data directly into QlikView without any technical setup or coding requirements. Simply select VTEX as your data source and QlikView as your destination to start visualizing sales performance, inventory levels, and marketing campaigns within minutes. Your dashboards stay current on a configurable schedule that you control, updating automatically every few minutes or on a daily basis depending on your business needs.
Kondado connects VTEX directly to QlikView with 17 ready-to-use pipelines covering 432 fields including orders, inventory, promotions, and customer data, requiring no intermediate database or complex configuration.
With this connection, marketing and operations teams can finally track ecommerce metrics in the familiar QlikView environment. Monitor order trends, analyze promotion effectiveness, and manage stock levels across multiple warehouses using automated data replication that keeps your reports accurate and current without manual exports.
Combining VTEX with QlikView unlocks powerful retail analytics for decision-makers. By accessing pipelines such as Orders, Stock, and Marketing Data of Orders, you can build comprehensive views that connect sales performance with inventory availability and campaign attribution. Track which promotions drive actual purchases using the Coupons pipeline while monitoring warehouse levels through the Stock pipeline to prevent stockouts during peak seasons.
This connection enables you to create unified dashboards showing customer journey insights alongside logistical performance. Analyze shipping timelines using the Shipping Data of Orders pipeline, correlate marketing spend with revenue through Marketing Data of Orders, and optimize pricing strategies by combining data from the SKUs: Prices pipeline with actual sales velocity.
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How to create VTEX dashboards in QlikView
Visualize your data automatically — no spreadsheet exports or custom scripts.
1
Add your VTEX store
Log into Kondado and select VTEX as your data source, then enter your store credentials to establish the connection. Choose from 17 available pipelines including Orders, Stock, and Coupons to determine which ecommerce data to replicate.
2
Choose QlikView destination
Select QlikView from the destination options to direct your VTEX data flow into your preferred visualization environment. This creates a seamless bridge between your ecommerce platform and analytics tool without requiring intermediate storage.
3
Configure refresh and visualize
Set your preferred update frequency from every 5 minutes to daily, then start building QlikView dashboards using your replicated VTEX data. Create reports tracking sales performance, inventory levels, and marketing campaigns that update automatically on your chosen schedule.
Try out all the features for free for 14 days
Access VTEX data in QlikView and combine it with dozens of other data sources
If the source you want is not listed, drop us a chat message. We love to add new sources!
Answers about visualizing VTEX data in QlikView automatically
How do I connect my VTEX store to QlikView using Kondado?▼
Start by adding VTEX as a data source in your Kondado account using your store credentials. Once connected, select QlikView as your destination and choose which pipelines you want to replicate, such as Orders or Stock data. The setup requires no coding and your data begins flowing immediately after configuration.
What type of ecommerce dashboards can I build with VTEX data in QlikView?▼
You can create comprehensive sales performance dashboards tracking order values and status, inventory management views using the Stock and SKUs pipelines, and marketing attribution reports analyzing campaign effectiveness through the Marketing Data of Orders pipeline. These visualizations help you identify bestselling products, optimal pricing windows, and warehouse replenishment needs.
How often does VTEX data update in my QlikView reports?▼
Kondado updates your data on a configurable schedule that you set based on your business requirements. Choose refresh intervals ranging from every 5 minutes for high-frequency monitoring to hourly or daily updates for standard reporting needs. This ensures your QlikView dashboards reflect current business conditions without manual intervention.
Which specific VTEX metrics and KPIs should I track in QlikView?▼
Focus on order totals and conversion rates using the Orders and Order Items pipelines, inventory turnover through Stock and SKUs data, and promotion ROI by analyzing the Coupons and Marketing Data of Orders pipelines. Tracking shipping performance via the Shipping Data of Orders pipeline also helps optimize logistics and delivery estimates.
Are there pre-built dashboard templates available for VTEX data?▼
Yes, Kondado offers ready-made report templates to accelerate your analytics setup. You can access the VTEX Power BI Report and VTEX Looker Studio Report templates, or adapt these structures for QlikView to quickly visualize orders, inventory, and marketing performance without building dashboards from scratch.
Can I share VTEX dashboards built in QlikView with my team?▼
Once your data replicates into QlikView, you can distribute reports and dashboards to stakeholders across your organization using QlikView's native sharing and collaboration features. Your marketing, operations, and finance teams can access the same current data to align on inventory decisions, campaign performance, and sales forecasting.
Do I need technical skills or a database to connect VTEX with QlikView?▼
No technical expertise or intermediate database is required. Kondado provides a direct connection that handles the data replication process automatically. Business users can configure the connection through a simple interface, select their desired pipelines like Orders or Payments, and start visualizing data in QlikView immediately.
Can I send VTEX data to other tools besides QlikView?▼
Absolutely, Kondado supports multiple destinations for your VTEX data. You can simultaneously replicate information to Power BI, Looker Studio, Google Sheets, or BigQuery to ensure all teams have access to consistent ecommerce metrics in their preferred platforms.
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