Dashboards in minutes

Connect Nuvemshop (Tiendanube) to Qlik Cloud Analytics: Dashboards in Minutes

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Connect Nuvemshop (Tiendanube) to Qlik Cloud Analytics

Kondado enables you to replicate data from your Nuvemshop (Tiendanube) store directly into Qlik Cloud Analytics without technical complexity or intermediate databases. You simply select your data source, choose which pipelines to activate from the 25 available options, and your sales, inventory, and customer information becomes available for visualization within minutes. The platform requires no coding knowledge, allowing marketing and operations teams to focus on extracting business insights rather than managing technical infrastructure.

25
available pipelines
981
extractable fields
  • No code, no spreadsheets
  • Auto-refreshed data
  • 14-day free trial

Try out all the features for free for 14 days

Kondado connects Nuvemshop (Tiendanube) to Qlik Cloud Analytics through a direct “Via Kondado” connection that delivers 25 data pipelines with 981 fields, updating on a configurable schedule ranging from 5 minutes to daily intervals.

You maintain complete control over how frequently your dashboards refresh, ensuring your team always works with current information for inventory planning, sales analysis, and customer behavior tracking. This automated approach eliminates manual data exports and keeps your Qlik reports current without requiring IT intervention or complex setup procedures. Business users can configure their preferred update frequency independently, choosing near-real-time updates for active campaigns or daily refreshes for routine reporting needs.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Try out all the features for free for 14 days

Available data

Nuvemshop (Tiendanube) data available in Qlik Cloud Analytics

Each item below is automatically replicated by Kondado from Nuvemshop (Tiendanube) into Qlik Cloud Analytics — no schema setup, no manual mapping.

25
available pipelines
981
extractable fields
Auto-refresh

Available integrations

Custom Fields
Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.
Abandoned Carts
Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.
Promotion Discount Settings
Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.
Abandoned Cart Coupons
Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.
Abandoned Cart Products
Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.
Applied Promotions for Abandoned Carts
Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.
Categories
Contains information about product categories, facilitating the organization and search for items in the store.
Distribution Centers
Presents data on distribution locations, allowing efficient management of inventory and logistics.
Distribution Center Inventory
Includes information on available stock, facilitating control and replenishment of products.
Customers
Contains data such as id, contact_email, and created_at, essential for customer relationship management.
Customers: Custom Fields
Includes fields such as id, created_at, and value, enabling customization of customer information based on specific needs.
Coupons
Contains information about coupons, including id, code, and discount value, facilitating the management of promotions and offers.
Shipping Methods
Presents data on shipping methods, such as id, name, and cost, allowing analysis of available delivery options.
Products
Includes details about products, such as id, name, and price, essential for inventory and sales management.
Products: Custom Fields
Provides fields such as id, created_at, and value, allowing customization of product information as needed.
Products: Variations
Includes information about product variations, such as id, type, and price, facilitating management of different product options.
Products: Variations: Custom Fields
Presents fields such as id, created_at, and value, allowing customization of specific information for product variations.
Sales
Contains data on sales, including id, total value, and date, essential for performance analysis and financial reporting.
Sales: Custom Fields
Includes fields such as id, created_at, and value, allowing customization of sales information as needed.
Sales: Promotion Discount Settings
Presents information on discount settings, such as id, discount type, and value, facilitating promotion management.
Sales: Coupons
View information about coupons used in sales, including fields such as id, discount, and created_at.
Sales: Shipments
Track details of sales shipments, with fields such as tracking_number, shipping_address, and created_at.
Sales: Shipping Events
Examine events related to shipping, including fields such as event_type, event_timestamp, and tracking_number.
Sales: Products
Explore information about sold products, with fields such as product_id, quantity, and price.
Sales: Applied Promotions
Analyze promotions applied in sales, including fields such as promotion_id, discount_value, and created_at.

Try out all the features for free for 14 days

With your Nuvemshop data flowing into Qlik Cloud Analytics, you can combine information from the Abandoned Carts, Sales, and Products pipelines to uncover actionable business insights that drive revenue growth. Track which products appear most frequently in abandoned carts versus completed purchases to optimize your inventory strategy and pricing, or analyze customer purchase patterns alongside promotion usage to refine your marketing campaigns for better conversion rates. The Distribution Center Inventory data helps you visualize stock levels across all locations within interactive Qlik dashboards, enabling proactive replenishment decisions before popular items go out of stock during peak selling periods.

Try out all the features for free for 14 days

How to create Nuvemshop (Tiendanube) dashboards in Qlik Cloud Analytics

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Nuvemshop as data source

Log into Kondado and add Nuvemshop (Tiendanube) as your data source, then authenticate with your store credentials to establish the connection.

2
Select Qlik Cloud Analytics destination

Choose Qlik Cloud Analytics from the available destinations, which also include Power BI, Looker Studio, and BigQuery, to determine where your replicated data will be visualized.

3
Configure refresh and build dashboards

Set your preferred update frequency from 5 minutes to daily intervals, then activate the specific pipelines like Sales, Products, or Customers that you need for your Qlik analysis.

Access Nuvemshop (Tiendanube) data in Qlik Cloud Analytics 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!

Visualize Nuvemshop (Tiendanube) data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

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Frequently Asked Questions (FAQ)

Answers about visualizing Nuvemshop (Tiendanube) data in Qlik Cloud Analytics automatically

How do I set up the Nuvemshop connection to Qlik Cloud Analytics?
Start by adding Nuvemshop (Tiendanube) as a data source in your Kondado account, then authenticate with your store credentials. Select Qlik Cloud Analytics as your destination and choose which data pipelines you want to replicate, such as Sales, Products, or Customers. The connection uses a direct "Via Kondado" method that requires no intermediate databases or complex configuration.
What business metrics can I track by combining Abandoned Carts and Sales data?
You can calculate cart abandonment rates by comparing incomplete checkouts from the Abandoned Carts pipeline against completed transactions in the Sales data. Analyze which products frequently appear in abandoned carts but rarely convert, allowing you to adjust pricing or shipping strategies. This combination also reveals the revenue impact of abandoned carts versus successful sales during specific promotional periods.
How frequently can I schedule data updates for my Nuvemshop store?
Kondado offers flexible scheduling options that let you choose update intervals ranging from every 5 minutes to daily, depending on your business needs. For high-traffic stores during sales events, near-real-time updates every 15 minutes keep your Qlik dashboards current. Standard operations typically work well with hourly or daily refresh schedules to balance current data with processing efficiency.
Can I share my Qlik dashboards with team members who don't have Kondado access?
Yes, once your data flows into Qlik Cloud Analytics, you can distribute reports and dashboards through Qlik's native sharing features to any team member with appropriate permissions. Your marketing team can view campaign performance while operations monitors inventory without needing separate Kondado logins. The data replication happens automatically in the background, so shared dashboards always reflect the latest Nuvemshop information.
Do I need coding skills to connect Nuvemshop to Qlik through Kondado?
No coding is required to establish the connection between your ecommerce platform and visualization tool. Kondado provides a no-code interface where you simply select your data source and destination from dropdown menus. If you also use Power BI, Looker Studio, or Google Sheets, the same simple setup process applies across all destinations.
What types of custom dashboards work best for ecommerce data in Qlik?
Effective dashboards often combine Sales data with Products and Customers pipelines to show top-performing items and buyer segments. You can build inventory management views using Distribution Center Inventory information to track stock levels across warehouses. Marketing teams benefit from analyzing Applied Promotions alongside Sales data to measure discount effectiveness and campaign ROI.
How does the Distribution Center Inventory data help with stock management?
The pipeline provides visibility into available stock across all your distribution locations, helping you identify which warehouses need replenishment. You can set up alerts in Qlik when inventory drops below optimal levels for popular products, preventing stockouts during peak demand. This data also supports decisions about transferring inventory between locations to fulfill orders more efficiently.

Try out all the features for free for 14 days