Connect Nuvemshop (Tiendanube) to IBM Cognos Analytics: Dashboards in Minutes

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Nuvemshop (Tiendanube)
IBM Cognos Analytics

Nuvemshop (Tiendanube) Data in IBM Cognos Analytics

To visualize Nuvemshop (Tiendanube) data in IBM Cognos Analytics, start by connecting your online store as a data source in Kondado and selecting IBM Cognos Analytics as your destination. The platform replicates your ecommerce information on a configurable schedule, ranging from every 5 minutes to daily updates, directly into your analytics environment without requiring intermediate databases or complex technical setup. Business teams can then build comprehensive reports to monitor sales trends, inventory levels, and customer behavior using familiar visualization tools that support smarter, data-driven decision making across marketing and operations.

Kondado offers a direct integration between Nuvemshop (Tiendanube) and IBM Cognos Analytics, replicating 25 data pipelines including Sales, Products, and Customers to enable near-real-time business intelligence and automated report updates.

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

Available Data for Analysis

Combining Nuvemshop (Tiendanube) with IBM Cognos Analytics unlocks powerful insights for ecommerce managers and marketing teams seeking to optimize their online performance. By accessing pipelines such as Abandoned Carts, Sales, and Products, you can analyze checkout completion rates, identify best-selling items, and track revenue trends across different time periods and customer segments. This combination helps you optimize inventory allocation based on Distribution Center Inventory data, refine promotional strategies using Applied Promotions for Abandoned Carts, and understand customer purchasing patterns to drive sustainable growth in your online store.

Try out all the features for free for 14 days

Nuvemshop (Tiendanube) data available in IBM Cognos Analytics

25
available pipelines
981
extractable fields

Available integrations

Integration Description
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.
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

How to create Nuvemshop (Tiendanube) dashboards in IBM Cognos 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 a new data source by entering your store credentials to establish the connection.

2
Select IBM Cognos Analytics Destination

Choose IBM Cognos Analytics from the available destinations and configure your preferred update schedule, selecting from intervals such as every 5 minutes, hourly, or daily.

3
Build Dashboards and Configure Refresh

Launch IBM Cognos Analytics to create custom reports using your replicated data, then set up automated refresh schedules to keep your sales and inventory visualizations current.

Access Nuvemshop (Tiendanube) data in IBM Cognos 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

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Frequently Asked Questions (FAQ)

Answers about visualizing Nuvemshop (Tiendanube) data in IBM Cognos Analytics automatically

How do I connect my Nuvemshop store to IBM Cognos Analytics using Kondado?
Start by adding Nuvemshop (Tiendanube) as a data source in your Kondado account and authenticate with your store credentials. Then select IBM Cognos Analytics as the destination and choose which data pipelines you want to replicate, such as Sales, Products, or Customers.
What types of dashboards can I build with Nuvemshop data in IBM Cognos Analytics?
You can create comprehensive sales performance dashboards, abandoned cart recovery reports, and inventory management views that combine data from multiple pipelines. These visualizations help track conversion rates, monitor stock levels across distribution centers, and analyze the effectiveness of promotional campaigns.
How often does the data update in IBM Cognos Analytics?
Kondado updates your Nuvemshop data on a configurable schedule that you control, with options ranging from every 5 minutes to daily refreshes. This ensures your reports reflect recent transactions and inventory changes without manual data exports.
Which KPIs should I track when visualizing Nuvemshop data?
Focus on metrics such as cart abandonment rates from the Abandoned Carts pipeline, sales conversion trends from the Sales data, and product performance indicators from the Products pipeline. You can also monitor coupon effectiveness and shipping method preferences to optimize your ecommerce operations.
Are there pre-built report templates available for Nuvemshop data?
Kondado does not provide pre-built report templates for this connection, allowing you to build custom dashboards tailored to your specific business needs in IBM Cognos Analytics. You can design visualizations that match your unique workflow and reporting requirements.
Can I share my Nuvemshop dashboards with my team in IBM Cognos Analytics?
Yes, once your data is replicated to IBM Cognos Analytics, you can leverage the platform's native sharing capabilities to distribute reports across your organization. Team members can access updated sales figures and inventory reports without needing direct access to your Nuvemshop store.
Can I send Nuvemshop data to other tools besides IBM Cognos Analytics?
Yes, Kondado supports multiple destinations including Power BI, Looker Studio, Google Sheets, and BigQuery. You can create separate pipelines to send the same Nuvemshop data to different analytics platforms for various team needs.
What specific data points are available from the Sales pipeline?
The Sales pipeline includes essential fields such as order ID, total value, transaction date, and customer information, along with related data from Sales Products and Sales Shipments. This enables detailed analysis of transaction patterns, average order values, and fulfillment status across your ecommerce operations.

Try out all the features for free for 14 days