How do I set up VTEX as a data source for IBM Cognos Analytics?

Log in to Kondado and add VTEX from the data source list using your store credentials. Next, choose IBM Cognos Analytics as your destination, select the pipelines you want to replicate, and set your preferred update schedule. The connection starts delivering data without any coding.

What dashboards can I create with VTEX data in IBM Cognos Analytics?

You can build reports that track daily revenue, monitor stock levels across warehouses, and evaluate marketing campaign performance. Many users also create logistic views to follow order shipments and invoice status.

How frequently does VTEX data refresh in my IBM Cognos Analytics reports?

Kondado lets you choose a configurable schedule such as every 5 minutes, 15 minutes, hourly, or daily. This ensures your reports reflect recent store activity based on your operational needs.

Which KPIs are most useful to track when visualizing VTEX in IBM Cognos Analytics?

Prioritize metrics like average order value, SKU stock availability, coupon redemption rates, and payment method split. These figures help marketing and operations teams adjust campaigns and replenishment quickly.

Are there pre-built VTEX report templates available?

Yes, Kondado offers ready-made VTEX reports for Power BI and Looker Studio . If you use IBM Cognos Analytics, you can build custom dashboards using the same replicated data.

Can my team share VTEX reports created in IBM Cognos Analytics?

Yes, once your reports are ready inside IBM Cognos Analytics, you can distribute them to colleagues through the platform’s native sharing and collaboration features. Everyone stays aligned with the same current metrics.

What types of VTEX information can I replicate to IBM Cognos Analytics?

You can select from 17 pipelines including Orders, Stock, Coupons, Order Items, and Marketing Data of Orders. Each one delivers detailed fields for analyzing sales, inventory, promotions, and customer transactions.

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Visualize VTEX Data in IBM Cognos Analytics

With Kondado, you can connect your VTEX store as a data source and send order, product, and inventory information directly into IBM Cognos Analytics. You choose which store data to replicate, define how frequently it updates, and build visual reports that help you track sales performance, stock levels, and marketing campaigns. There is no need for technical setup, manual exports, or intermediate databases.

Marketing and operations teams at online retailers can explore ecommerce metrics through interactive charts and make confident decisions about promotions, warehouse allocation, and order fulfillment. Instead of waiting for spreadsheets, you get a centralized view of your store that stays current automatically.

Kondado connects VTEX directly to IBM Cognos Analytics through a Via Kondado connection, allowing business users to replicate store data on a configurable schedule and create updated reports without coding or managing databases.

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

By bringing VTEX pipelines such as Orders, Stock, and Marketing Data of Orders into IBM Cognos Analytics, you can build reports that show which campaigns drive the most revenue, monitor SKU availability across warehouses, and identify bottlenecks in order processing. These insights help marketing teams adjust ad spend and help operations teams prevent stockouts before they impact sales.

You can also combine the Order Items and Payments pipelines to analyze average basket size, preferred payment methods, and promotional impact on checkout value. This makes it easier to spot buying patterns and optimize your ecommerce strategy directly from your reports.

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VTEX data available in IBM Cognos Analytics

available pipelines

432

extractable fields

Available integrations

Integration	Description
Coupons	Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.
Stock	Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.
Master Data	Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.
Orders	Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.
Shipping Data of Orders	Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.
Marketing Data of Orders	Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.
Order Details	Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.
Logistics Information of Orders	Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.
Order Items	Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.
Payments: Order Transactions	Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.
Orders: Fees and Benefits	Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.
Orders: Totals	Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.
Products	Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.
Promotions	Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.
SKUs	Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.
SKUs: Kits	Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.
SKUs: Prices	Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.

Coupons

Includes fields like coupon_id, expirationintervalperuse, and isarchived, allowing management of promotions and their reuse intervals.

Stock

Presents data such as skuid, warehouseid, and totalquantity, providing information on the stock position of SKUs by warehouse.

Master Data

Contains fields like id, updatedin, and createdin, allowing management of entities and their dynamic properties.

Orders

Includes information such as orderid, status, and totalvalue, allowing detailed tracking of orders and their status.

Shipping Data of Orders

Provides shipping details including shippingestimateddate and shippingestimateddatemax, essential for logistical management.

Marketing Data of Orders

Includes information such as affiliateid and utmcampaign, allowing analysis of marketing campaigns associated with orders.

Order Details

Presents fields like lastmessageunread and callcenteroperatorname, offering insights into customer communication and service.

Logistics Information of Orders

Includes data such as invoiceinput and invoiceoutput, essential for managing fiscal and logistical documents.

Order Items

Contains information about each order item, such as totalitems and paymentnames, allowing detailed analysis of purchased products.

Payments: Order Transactions

Includes details about payment transactions, such as paymentnames and totalvalue, essential for financial control of orders.

Orders: Fees and Benefits

Includes information about fees and benefits associated with orders, such as totalvalue, shippingestimateddate, and paymentnames.

Orders: Totals

Presents the totals of orders, including orderid, totalvalue, and totalitems, along with details about the creation date.

Products

Contains data about available products, including skuid, warehousename, and totalquantity, along with pricing information.

Promotions

Provides details about promotions, including coupon_id, expirationintervalperuse, and maxitemsperclient, along with campaign information.

SKUs

Presents information about SKUs, such as skuid, totalquantity, and reservedquantity, along with data on stock availability.

SKUs: Kits

Includes data about SKU kits, allowing the visualization of product combinations along with their respective quantities and prices.

SKUs: Prices

Provides information about SKU prices, including skuid and pricing details, allowing for cost and promotion analysis.

See all available data →

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How to create VTEX dashboards in IBM Cognos Analytics

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

Add VTEX as a data source

In Kondado, select VTEX from the data source list and enter your store credentials to authorize the connection. This establishes the link between your ecommerce account and Kondado.

Choose IBM Cognos Analytics

Set IBM Cognos Analytics as your destination and pick the store information you want to visualize. Kondado will start replicating the selected data on the schedule you define.

Create reports and schedule updates

Open IBM Cognos Analytics and use the replicated VTEX data to design reports that track sales, inventory, and campaigns. Adjust the refresh frequency in Kondado to keep your metrics current automatically.