Connect VTEX to Power BI: Dashboards in Minutes

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VTEX
Power BI

Visualize VTEX Data in Power BI

Connect your VTEX store to Power BI without writing code or managing complex infrastructure. Kondado offers a direct connection that replicates your ecommerce data into Power BI on a configurable schedule, so your reports always reflect current sales, inventory, and customer behavior. Simply select VTEX as your data source, choose which pipelines to activate, and start building dashboards in minutes. Whether you need hourly updates for operations or daily summaries for executives, you control exactly how often your data refreshes.

Kondado connects VTEX to Power BI through a direct connection requiring no intermediate databases or technical setup, offering 17 data pipelines including Orders, Stock, and Marketing Data with automated updates configurable from every 5 minutes to daily.

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

Combine your VTEX Orders and Marketing Data pipelines in Power BI to uncover which campaigns actually drive revenue, not just clicks. Track how promotions impact inventory by connecting the Stock and Coupons pipelines, ensuring you never advertise products that are running low. With 17 pipelines covering everything from shipping logistics to SKU pricing, you can build comprehensive reports that help marketing teams optimize spend, operations teams prevent stockouts, and finance managers track payment trends across multiple sales channels.

Try out all the features for free for 14 days

VTEX data available in Power BI

17
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.

Try out all the features for free for 14 days

Discover our VTEX report in Power BI

How to create VTEX dashboards in Power BI

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

1
Connect VTEX as data source

Log into Kondado and add VTEX as your data source by entering your store credentials and selecting which pipelines to activate, such as Orders or Stock.

2
Choose Power BI destination

Select Power BI as your destination to replicate VTEX data directly into your workspace without intermediate databases or complex configuration.

3
Configure refresh and build dashboards

Set your preferred update schedule from every 5 minutes to daily, then start building reports in Power BI using the replicated data to track sales, inventory, and marketing performance.

Access VTEX data in Power BI 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 VTEX 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 VTEX data in Power BI automatically

How do I connect my VTEX store to Power BI using Kondado?
Start by adding VTEX as a data source in your Kondado account and authenticate with your store credentials. Then select Power BI as your destination, choose the pipelines you need like Orders and Stock, and configure your preferred update schedule. The connection requires no coding or database configuration, so you can begin visualizing data within minutes.
What VTEX dashboards can I build in Power BI?
You can create comprehensive ecommerce reports covering sales performance, inventory management, and marketing attribution by combining pipelines like Orders, Marketing Data of Orders, and Stock. Build dashboards that track conversion funnels, monitor shipping efficiency using the Shipping Data of Orders pipeline, or analyze promotion effectiveness with the Coupons and Promotions data. These visualizations help you identify top-performing products and optimize your marketing spend.
How often does VTEX data update in Power BI?
Kondado lets you configure automated updates ranging from every 5 minutes to daily, depending on your business needs. Operations teams might prefer near-real-time updates for inventory monitoring, while executive dashboards may only require daily refreshes. You can adjust these frequencies anytime as your reporting requirements evolve.
Can I share VTEX Power BI dashboards with my team?
Yes, once your data flows into Power BI, you can distribute reports to stakeholders across marketing, operations, and finance using Power BI's native sharing features. Your teammates can view dashboards on desktop or mobile devices without needing access to Kondado or VTEX directly. This ensures everyone makes decisions based on the same current data.
Are there pre-built VTEX report templates available?
Yes, Kondado provides ready-made report templates including the VTEX Power BI Report and VTEX Looker Studio Report. These templates offer immediate visualizations for common ecommerce metrics like sales trends, inventory levels, and campaign performance. You can customize these pre-built reports to match your specific KPIs or use them as starting points for more advanced analysis.
What specific VTEX KPIs should I track in Power BI?
Focus on metrics that connect operations to revenue, such as order fulfillment rates using the Logistics Information of Orders pipeline, stock availability by warehouse from the Stock pipeline, and customer acquisition costs via the Marketing Data of Orders. Tracking these indicators helps you identify bottlenecks in your fulfillment process and optimize inventory allocation across different sales channels.
Do I need technical skills to set up the VTEX Power BI connection?
No technical expertise is required to replicate your VTEX data into Power BI. The setup process uses a simple point-and-click interface where you select your pipelines and configure schedules without writing code or managing APIs. Business users, marketers, and operations managers can independently maintain their data connections and modify refresh frequencies.
Can I send VTEX data to other tools besides Power BI?
Absolutely, Kondado supports multiple destinations including Google Sheets, BigQuery, Looker Studio, and PostgreSQL. You can also send data to MySQL, Excel, Redshift, SQL Server, or Amazon S3. This flexibility allows you to maintain your VTEX analytics in Power BI while simultaneously feeding other databases or spreadsheets for different team needs.

Try out all the features for free for 14 days