What Shopify data can I visualize in Pentaho reports?

You can replicate data from 17 different pipelines including Orders, Abandoned Checkouts, Customers, Inventory Items, and Orders Visits UTM Parameters. This allows you to build custom reports analyzing sales performance, customer behavior, marketing campaign attribution, and inventory management. Each pipeline contains specific fields like order values, discount codes, and fulfillment status to support detailed business analysis.

How often does Shopify data update in Pentaho dashboards?

Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency based on how current your reports need to be for decision-making. Once configured, the updates happen automatically, keeping your Pentaho visualizations current without manual intervention.

What KPIs should I track when visualizing Shopify data in Pentaho?

Focus on metrics like conversion rates by analyzing Abandoned Checkouts alongside completed Orders, and track customer lifetime value using the Customers pipeline data. Marketing teams should monitor UTM parameter performance to measure campaign ROI, while operations teams can visualize inventory turnover and fulfillment efficiency. These insights help optimize both revenue generation and operational costs.

Can I share Pentaho dashboards with my team using Kondado data?

Yes, once your data flows into Pentaho, you can leverage the platform's native sharing and collaboration features to distribute insights across your organization. Your team members can access the same automatically updated Shopify metrics without needing individual Kondado accounts. This ensures everyone from marketing to finance works with consistent, current data for aligned decision-making.

Do I need technical skills to replicate Shopify data to Pentaho?

No coding or technical expertise is required to set up the connection between Shopify and Pentaho through Kondado. The interface guides you through selecting your data source and destination with simple point-and-click configuration. Business users can manage the entire process independently, from choosing which pipelines to replicate to setting the update schedule.

Can I combine Shopify data with other sources in Pentaho?

Absolutely, Pentaho allows you to blend your Shopify ecommerce data with information from other platforms for comprehensive analysis. You can connect additional sources through Kondado such as BigQuery , PostgreSQL , or advertising platforms to create unified reports. This cross-platform visibility helps you understand how marketing spend across channels impacts your Shopify sales performance.

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Visualize Shopify Data in Pentaho with Kondado

Visualizing your Shopify store data in Pentaho is straightforward with Kondado’s direct connection. You simply connect your Shopify account as a data source, select Pentaho as your destination, and choose which data pipelines you want to replicate from the 17 available options covering orders, customers, and inventory. Kondado handles the data replication on a configurable schedule, updating your dashboards every 5 minutes, hourly, or daily based on your business needs. This approach eliminates complex technical setup and intermediate databases, allowing marketing and operations teams to focus on analyzing sales trends and customer behavior rather than managing technical connections. With 505 fields available across all pipelines, you can build comprehensive reports that track everything from abandoned checkouts to fulfillment status.

Kondado connects Shopify directly to Pentaho through a Via Kondado connection without requiring intermediate databases or coding, enabling automated data replication on a configurable schedule so business teams can visualize ecommerce metrics and make informed decisions immediately.

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

Combining Shopify’s rich ecommerce data with Pentaho’s visualization capabilities unlocks powerful insights for growing businesses. By replicating data from the Orders and Abandoned Checkouts pipelines, you can create dashboards that reveal revenue patterns and identify exactly where customers drop off in the purchase journey. Marketing teams benefit from analyzing the Orders Visits UTM Parameters pipeline alongside customer data to measure campaign effectiveness and optimize advertising spend, while operations managers can monitor the Inventory Items and Orders Fulfillments pipelines to track stock levels and ensure smooth delivery experiences without technical complexity.

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Shopify data available in Pentaho

available pipelines

505

extractable fields

Available integrations

Integration	Description
Abandoned Checkouts	View data on abandoned checkouts, including total value, items in the cart, and abandonment date.
Customers	Track customer information, including name, email, status, and account creation date.
Events	Log important events, including event type, date, and details associated with each event.
Inventory: items	Monitor item inventory, including SKU, available quantity, and product location.
Order timeline events	Analyze order timeline events, including status, date, and actions taken during processing.
Orders	Examine order details, including order number, total value, status, and creation date.
Orders Details	Get detailed information about orders, including items, prices, quantities, and applied discounts.
Orders Discount Applications	View how discounts were applied to orders, including discount type and value.
Orders Discount Codes	Access information on discount codes used in orders, including code and discount value.
Orders Fulfillments	Monitor the status of order fulfillments, including fulfillment date and shipping method.
Orders Line Items	Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.
Orders Note Attributes	Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.
Orders Refunds	Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.
Orders Shipping Lines	Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.
Orders Transactions	Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.
Orders Visits UTM Parameters	Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.
Products	Contains details about products, including title, description, price, SKU, and images, along with information on variants.

Abandoned Checkouts

View data on abandoned checkouts, including total value, items in the cart, and abandonment date.

Customers

Track customer information, including name, email, status, and account creation date.

Events

Log important events, including event type, date, and details associated with each event.

Inventory: items

Monitor item inventory, including SKU, available quantity, and product location.

Order timeline events

Analyze order timeline events, including status, date, and actions taken during processing.

Orders

Examine order details, including order number, total value, status, and creation date.

Orders Details

Get detailed information about orders, including items, prices, quantities, and applied discounts.

Orders Discount Applications

View how discounts were applied to orders, including discount type and value.

Orders Discount Codes

Access information on discount codes used in orders, including code and discount value.

Orders Fulfillments

Monitor the status of order fulfillments, including fulfillment date and shipping method.

Orders Line Items

Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.

Orders Note Attributes

Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.

Orders Refunds

Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.

Orders Shipping Lines

Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.

Orders Transactions

Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.

Orders Visits UTM Parameters

Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.

Products

Contains details about products, including title, description, price, SKU, and images, along with information on variants.

See all available data →

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How to create Shopify dashboards in Pentaho

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

Connect Your Shopify Store to Kondado

Add Shopify as a data source in your Kondado account and authenticate with your store credentials to establish the initial connection. Select which data pipelines you want to replicate, such as Orders or Customers, to define what information will be available for visualization.

Choose Pentaho as Your Destination

Select Pentaho from the available destinations to receive your Shopify data directly without intermediate storage requirements. This establishes the flow that will keep your reports updated automatically on your chosen schedule.

Configure Refresh and Build Reports

Set your preferred update frequency, from every 5 minutes to daily, then start building custom reports in Pentaho using your replicated Shopify data. You can also send data to Power BI or Looker Studio if your team uses multiple visualization tools.