How do I connect Google Analytics GA4 to Pentaho using Kondado?

Start by adding Google Analytics GA4 as a data source in your Kondado account and authenticate with your Google credentials. Then select Pentaho as your destination, choose the specific pipelines you need such as Traffic Acquisition or Product Performance, and set your preferred update frequency. The connection uses our Via Kondado method, eliminating the need for intermediate databases or complex configuration.

What marketing dashboards can I build in Pentaho with GA4 data?

You can create comprehensive dashboards showing conversion funnels, channel attribution, and e-commerce performance by combining multiple pipelines. Build visualizations that track daily events alongside monthly geographic performance to understand regional campaign effectiveness. These reports help marketing teams identify high-performing content and optimize spend allocation without manual data preparation.

How often does my Google Analytics data update in Pentaho?

Kondado lets you configure updates on a schedule that fits your business needs, ranging from every 5 minutes to daily intervals. This ensures your Pentaho dashboards reflect recent user activity and campaign results without manual refreshes. You can adjust the frequency anytime based on reporting requirements or seasonal campaign intensity.

Which KPIs should I track when visualizing GA4 data in Pentaho?

Focus on metrics like conversion rates from the Landing Page Analysis pipeline, revenue trends from E-commerce Revenue, and user engagement from Device Performance data. Tracking sessions by source and bounce rates through the Channel Performance pipeline helps identify your most valuable traffic sources. These KPIs provide actionable insights for optimizing marketing strategies and improving website user experience.

Are there pre-built dashboard templates available for Google Analytics GA4?

Yes, Kondado offers ready-made report templates including the Google Analytics (GA4) Power BI Report and Google Analytics (GA4) Looker Studio Report for quick visualization setup. While these templates are optimized for Power BI and Looker Studio , you can apply the same data structure and KPI logic when building your Pentaho dashboards. This accelerates your time-to-insight with proven visualization patterns.

Can I share Pentaho dashboards with my marketing team?

Once your data flows into Pentaho, you can distribute reports to stakeholders across your organization using Pentaho's native sharing and scheduling features. Marketing managers can access automated updates showing campaign performance without requesting manual exports from analysts. This collaborative approach ensures everyone works from the same current data when making strategic decisions.

Do I need technical skills to replicate GA4 data into Pentaho?

No coding is required to establish the connection or manage your data replication. Kondado handles the technical complexity through our direct integration, allowing business users to select pipelines and configure schedules through an intuitive interface. Marketing teams can focus on analyzing insights rather than managing data infrastructure.

Can I send GA4 data to other tools besides Pentaho?

Absolutely, you can replicate your Google Analytics data to multiple destinations simultaneously. Send your data to Power BI , Looker Studio , Google Sheets , or BigQuery alongside Pentaho to support different team preferences and use cases.

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Visualize Google Analytics GA4 Data in Pentaho

To visualize Google Analytics GA4 data in Pentaho, start by connecting your Google Analytics GA4 account as a data source on Kondado. Select from 13 available pipelines including Channel Performance, E-commerce Revenue, and Traffic Acquisition to replicate the metrics that matter most to your business. Choose Pentaho as your destination and configure your preferred update schedule, whether every 5 minutes or daily. Your marketing data flows directly into Pentaho without complex setup or intermediate databases, enabling you to build comprehensive dashboards immediately. This approach eliminates manual data preparation and ensures your reports always reflect current website and app performance.

Kondado provides a direct integration between Google Analytics GA4 and Pentaho with 13 pre-configured pipelines covering 105 fields, allowing business users to replicate website and app analytics data on a configurable schedule without writing code.

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

With your GA4 data available in Pentaho, marketing teams can combine user behavior insights with other business data for complete performance visibility. The E-commerce Revenue pipeline reveals daily sales patterns and conversion trends, while the Channel Performance pipeline helps you understand which marketing campaigns drive the most engaged traffic. Analyze landing page effectiveness alongside device performance data to optimize user experiences across all touchpoints. Whether you are tracking geographic performance monthly or monitoring daily events, these combined insights empower you to allocate budgets wisely and improve campaign ROI without technical complexity.

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Google Analytics GA4 data available in Pentaho

available pipelines

105

extractable fields

Available integrations

Integration	Description
Channel Performance (Monthly)	Analyze monthly channel performance with metrics such as sessions, users, and bounce rate, along with dimensions like source/medium and campaign.
Custom Report (Core)	Create custom reports by selecting dimensions like date and page, and metrics such as users and sessions for detailed analysis.
Device & Region Performance	Evaluate performance by device and region using metrics like sessions and users, along with dimensions such as device type and location.
Device Performance	Analyze performance across different devices with metrics such as sessions, bounce rate, and average session duration.
E-commerce Revenue (Daily)	Monitor daily e-commerce revenue using metrics such as total revenue, number of transactions, and conversion rate.
Events Tracking (Daily)	Track daily events with metrics such as event count, unique users, and engagement, along with dimensions like event type.
Geographic Performance (Daily)	Analyze daily geographic performance with dimensions such as location and metrics like sessions, users, and bounce rate.
Geographic Performance (Monthly)	Examine monthly geographic performance using metrics like sessions and users, along with dimensions such as location and source.
Landing Page Analysis	Evaluate landing page performance with metrics such as conversion rate and sessions, along with dimensions like page URL and source.
Page Content Analysis	Analyze page content with metrics such as average time on page and sessions, along with dimensions like URL and page title.
Product Category Monthly	Monthly report analyzing revenue, sessions, and users by product category, allowing insights into the performance of each category over time.
Product Performance	Report detailing metrics such as revenue, units sold, and sessions by product, facilitating the analysis of individual item performance.
Traffic Acquisition Daily	Daily report including dimensions such as date, source/medium, and campaign, with metrics of sessions, users, and bounce rate, allowing evaluation of campaign effectiveness.

Channel Performance (Monthly)

Analyze monthly channel performance with metrics such as sessions, users, and bounce rate, along with dimensions like source/medium and campaign.

Custom Report (Core)

Create custom reports by selecting dimensions like date and page, and metrics such as users and sessions for detailed analysis.

Device & Region Performance

Evaluate performance by device and region using metrics like sessions and users, along with dimensions such as device type and location.

Device Performance

Analyze performance across different devices with metrics such as sessions, bounce rate, and average session duration.

E-commerce Revenue (Daily)

Monitor daily e-commerce revenue using metrics such as total revenue, number of transactions, and conversion rate.

Events Tracking (Daily)

Track daily events with metrics such as event count, unique users, and engagement, along with dimensions like event type.

Geographic Performance (Daily)

Analyze daily geographic performance with dimensions such as location and metrics like sessions, users, and bounce rate.

Geographic Performance (Monthly)

Examine monthly geographic performance using metrics like sessions and users, along with dimensions such as location and source.

Landing Page Analysis

Evaluate landing page performance with metrics such as conversion rate and sessions, along with dimensions like page URL and source.

Page Content Analysis

Analyze page content with metrics such as average time on page and sessions, along with dimensions like URL and page title.

Product Category Monthly

Monthly report analyzing revenue, sessions, and users by product category, allowing insights into the performance of each category over time.

Product Performance

Report detailing metrics such as revenue, units sold, and sessions by product, facilitating the analysis of individual item performance.

Traffic Acquisition Daily

Daily report including dimensions such as date, source/medium, and campaign, with metrics of sessions, users, and bounce rate, allowing evaluation of campaign effectiveness.

See all available data →

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How to create Google Analytics GA4 dashboards in Pentaho

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

Connect GA4 as data source

Add Google Analytics GA4 as a data source by authenticating your Google account and selecting the property you want to analyze.

Select Pentaho destination

Choose Pentaho as your destination and configure the connection settings to establish your data flow without intermediate databases.

Build dashboards and configure refresh

Set your preferred update schedule ranging from 5 minutes to daily intervals, then create marketing dashboards in Pentaho using your automatically replicated GA4 data.