How Fivetran + Google Cloud drive efficiency and cost savings

Discover how Paylocity, Vida Health, Nando’s, and Trinny London use Fivetran and Google Cloud to drive efficiency and cut costs across their global operations.
March 19, 2025

Enterprises regularly struggle to manage data across sprawling teams and organizational silos. To drive efficiency and cut costs, businesses need a modern data infrastructure with automated data integration and real-time insights. 

Global companies like Gill Capital, Vida Health, Nando’s, and Trinny London are leveraging Fivetran and Google BigQuery to streamline operations, enhance decision-making, and unlock scalable growth. By automating data pipelines and consolidating their data, these enterprises are reducing costs and improving customer experiences.

Paylocity saves 6 figures, cuts customer acquisition costs by 20%

Paylocity, a leading provider of human capital management and payroll software, needed to scale its data infrastructure to support rapid growth and enhance customer experiences. Manual processes and siloed data made it difficult to track marketing performance, optimize spending, and streamline sales operations.

By automating data ingestion with Fivetran and centralizing marketing and sales data in Google BigQuery, Paylocity eliminated time-consuming spreadsheet processes and custom integrations. This enabled real-time insights into lead conversion, budget allocation, and campaign effectiveness, helping marketing teams deliver the right messages at the right time.

Fivetran also played a key role in Paylocity’s CRM migration from Microsoft Dynamics to Salesforce, reducing migration time from over 6 months to under a month — while saving 6 figures in costs. Now, with a single source of truth for customer data, the company continues to expand its data strategy across finance and product analytics.

The results:

  • 20% reduction in customer acquisition costs
  • 90% reduction in pipeline development time
  • 92% reduction in CRM migration time
  • Significant cost savings, eliminating the need for additional tooling and resources
"Fivetran has been a core part of allowing us to scale and a force multiplier in our data-driven processes across the organization. We would have spent 6 figures on other tooling and resources to achieve the same single source of truth for customer data that Fivetran enables."
— Andrew Wahl, Director of Marketing Analytics and Operations at Paylocity

Read the case study: Paylocity transforms its go-to market strategy with Fivetran

Vida Health: Eliminating data bottlenecks and cutting manual workloads

Vida Health is a digital health care platform offering virtual care for individuals with chronic conditions. Its data architecture relied on fragmented and manual data processes, which created bottlenecks and inefficiencies across operations. Non-engineering teams were often left building ad-hoc pipelines that couldn’t scale or feed into centralized systems, significantly increasing the time and effort required for data integration.

Using Fivetran, Vida Health automated data ingestion and centralized real-time patient data into Google BigQuery. The new infrastructure eliminated redundant manual processes, enabling teams to reuse pipelines and maintain consistent data workflows. This reduced costs by minimizing repetitive work and empowered teams to focus on delivering patient insights faster and more effectively.

The results:

  • 1 day to generate a KPI for executives, down from 3 months previously
  • 80% of work to create new data products can be self-served by analytics team, up from 20%
  • Substantially reduced time spent troubleshooting data issues from weeks to hours
“Fivetran’s reputation spoke for itself. We knew it could move our large — and growing — volumes of data from all of our sources securely. [...] The fact that claims data stored as flat files in GCS could be moved was the clincher. Everyone from data engineers to analysts were bought into Fivetran.”
— Trenton Huey, Senior Director of Data at Vida Health

Read the case study: Vida Health uses Fivetran and dbt Cloud to provide personalized health care

Nando’s: Empowering marketing with real-time customer insights

Nando’s, a global fast food restaurant chain, required a more efficient way to manage its vast and growing data sets spanning systems like Stripe for payments, Zendesk for customer service, and SQL Server for operational data. Before implementing Fivetran, the siloed nature of these systems delayed critical decision-making and limited the marketing team’s ability to personalize campaigns effectively.

By using Fivetran to centralize data into Google BigQuery, Nando’s marketing and analytics teams gained real-time access to data. This integration allowed the team to streamline campaign execution by quickly analyzing loyalty trends, customer orders, and engagement patterns. With tools like Hightouch layered on top of their modern data stack, Nando’s could use data modeled in BigQuery to send personalized offers to high-value customers, such as loyalty rewards or targeted meal promotions. By closing the loop and bringing modeled data back into marketing operations, Nando’s significantly improved in the speed and effectiveness of their marketing efforts, enhancing customer engagement and retention.

The results:

  • 80% reduction in data engineering time 
  • Improved targeted campaign segmentation with increased access to marketing data
  • Faster access to insights on key metrics across operations, from fraud risk to meal delivery times
“We used to spend 80% of the time moving data over to build campaigns; that’s fallen to 20%. It means we can focus more on building engaging emails and making sure we have the data back from campaigns to analyse.”
— Miquel Puig, Technical Engineering Lead at Nando’s

Read the case study: Fivetran feeds Nando’s appetite for data

Trinny London: Saving £260K per year with unified data

Trinny London, one of Europe’s fastest-growing beauty brands known for personalized makeup product recommendations, struggled with siloed data systems that limited cross-departmental collaboration and slowed decision-making. Without a centralized data infrastructure, scaling operations efficiently became increasingly difficult and presented a major barrier to continued success.

By adopting Fivetran, Trinny London centralized its data into Google BigQuery, enabling over half its workforce to access self-service analytics. Fivetran allowed the company to quickly and easily select which of its 2,500 NetSuite tables to use across various teams, without the need to ingest all of them. This has saved the company up to £260,000 annually and reduced manual data handling, freeing teams to focus on optimizing customer experiences and driving growth.

Thanks to democratized data access, all departments are leveraging self-serve data to make decisions, building their own reports and conducting analysis. What used to take several months is now accessible to any Trinny London employee in minutes. Internal teams no longer need to manually aggregate or compile data and reports. It’s so efficient that they need just one employee to manage the entire data platform, which serves more than 200 people.

The results:

  • Full visibility across marketing platforms, optimizing cross-channel campaign performance 
  • Gained the capabilities of an entire data engineering team, saving up to £260,000 annually
  • 50%+ of employees have access to self-service data, eliminating bottlenecks and boosting agility
“Thanks to Fivetran, a single data engineer manages our entire data platform for over 200 people, seamlessly ingesting millions of rows of data daily. It's a true testament to the power and efficiency of Fivetran.”
— Don Tran, Technical Director, Trinny London

Read the case study: Trinny London achieves up to £260K in savings

Driving efficiency and savings in the enterprise with Fivetran and Google Cloud

Modernizing data infrastructure eliminates outdated systems, reduces maintenance costs, and enables faster, more accurate decisions that drive savings and efficiency. Gill Capital, Vida Health, Nando’s, and Trinny London highlight how Fivetran and Google BigQuery transform disconnected systems into centralized, real-time sources of truth. By automating workflows and reducing manual efforts, these companies have achieved measurable savings while empowering teams to focus on strategic growth initiatives.

Whether it’s driving a 121% boost in sales, saving £260,000 annually, or cutting data engineering time by 80%, the impact of modernizing with Fivetran and Google Cloud extends beyond cost savings. These enterprises have built agile, scalable systems that enable innovation, optimize customer experiences, and ensure long-term growth.

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Data insights
Data insights

How Fivetran + Google Cloud drive efficiency and cost savings

How Fivetran + Google Cloud drive efficiency and cost savings

March 19, 2025
March 19, 2025
How Fivetran + Google Cloud drive efficiency and cost savings
Discover how Paylocity, Vida Health, Nando’s, and Trinny London use Fivetran and Google Cloud to drive efficiency and cut costs across their global operations.

Enterprises regularly struggle to manage data across sprawling teams and organizational silos. To drive efficiency and cut costs, businesses need a modern data infrastructure with automated data integration and real-time insights. 

Global companies like Gill Capital, Vida Health, Nando’s, and Trinny London are leveraging Fivetran and Google BigQuery to streamline operations, enhance decision-making, and unlock scalable growth. By automating data pipelines and consolidating their data, these enterprises are reducing costs and improving customer experiences.

Paylocity saves 6 figures, cuts customer acquisition costs by 20%

Paylocity, a leading provider of human capital management and payroll software, needed to scale its data infrastructure to support rapid growth and enhance customer experiences. Manual processes and siloed data made it difficult to track marketing performance, optimize spending, and streamline sales operations.

By automating data ingestion with Fivetran and centralizing marketing and sales data in Google BigQuery, Paylocity eliminated time-consuming spreadsheet processes and custom integrations. This enabled real-time insights into lead conversion, budget allocation, and campaign effectiveness, helping marketing teams deliver the right messages at the right time.

Fivetran also played a key role in Paylocity’s CRM migration from Microsoft Dynamics to Salesforce, reducing migration time from over 6 months to under a month — while saving 6 figures in costs. Now, with a single source of truth for customer data, the company continues to expand its data strategy across finance and product analytics.

The results:

  • 20% reduction in customer acquisition costs
  • 90% reduction in pipeline development time
  • 92% reduction in CRM migration time
  • Significant cost savings, eliminating the need for additional tooling and resources
"Fivetran has been a core part of allowing us to scale and a force multiplier in our data-driven processes across the organization. We would have spent 6 figures on other tooling and resources to achieve the same single source of truth for customer data that Fivetran enables."
— Andrew Wahl, Director of Marketing Analytics and Operations at Paylocity

Read the case study: Paylocity transforms its go-to market strategy with Fivetran

Vida Health: Eliminating data bottlenecks and cutting manual workloads

Vida Health is a digital health care platform offering virtual care for individuals with chronic conditions. Its data architecture relied on fragmented and manual data processes, which created bottlenecks and inefficiencies across operations. Non-engineering teams were often left building ad-hoc pipelines that couldn’t scale or feed into centralized systems, significantly increasing the time and effort required for data integration.

Using Fivetran, Vida Health automated data ingestion and centralized real-time patient data into Google BigQuery. The new infrastructure eliminated redundant manual processes, enabling teams to reuse pipelines and maintain consistent data workflows. This reduced costs by minimizing repetitive work and empowered teams to focus on delivering patient insights faster and more effectively.

The results:

  • 1 day to generate a KPI for executives, down from 3 months previously
  • 80% of work to create new data products can be self-served by analytics team, up from 20%
  • Substantially reduced time spent troubleshooting data issues from weeks to hours
“Fivetran’s reputation spoke for itself. We knew it could move our large — and growing — volumes of data from all of our sources securely. [...] The fact that claims data stored as flat files in GCS could be moved was the clincher. Everyone from data engineers to analysts were bought into Fivetran.”
— Trenton Huey, Senior Director of Data at Vida Health

Read the case study: Vida Health uses Fivetran and dbt Cloud to provide personalized health care

Nando’s: Empowering marketing with real-time customer insights

Nando’s, a global fast food restaurant chain, required a more efficient way to manage its vast and growing data sets spanning systems like Stripe for payments, Zendesk for customer service, and SQL Server for operational data. Before implementing Fivetran, the siloed nature of these systems delayed critical decision-making and limited the marketing team’s ability to personalize campaigns effectively.

By using Fivetran to centralize data into Google BigQuery, Nando’s marketing and analytics teams gained real-time access to data. This integration allowed the team to streamline campaign execution by quickly analyzing loyalty trends, customer orders, and engagement patterns. With tools like Hightouch layered on top of their modern data stack, Nando’s could use data modeled in BigQuery to send personalized offers to high-value customers, such as loyalty rewards or targeted meal promotions. By closing the loop and bringing modeled data back into marketing operations, Nando’s significantly improved in the speed and effectiveness of their marketing efforts, enhancing customer engagement and retention.

The results:

  • 80% reduction in data engineering time 
  • Improved targeted campaign segmentation with increased access to marketing data
  • Faster access to insights on key metrics across operations, from fraud risk to meal delivery times
“We used to spend 80% of the time moving data over to build campaigns; that’s fallen to 20%. It means we can focus more on building engaging emails and making sure we have the data back from campaigns to analyse.”
— Miquel Puig, Technical Engineering Lead at Nando’s

Read the case study: Fivetran feeds Nando’s appetite for data

Trinny London: Saving £260K per year with unified data

Trinny London, one of Europe’s fastest-growing beauty brands known for personalized makeup product recommendations, struggled with siloed data systems that limited cross-departmental collaboration and slowed decision-making. Without a centralized data infrastructure, scaling operations efficiently became increasingly difficult and presented a major barrier to continued success.

By adopting Fivetran, Trinny London centralized its data into Google BigQuery, enabling over half its workforce to access self-service analytics. Fivetran allowed the company to quickly and easily select which of its 2,500 NetSuite tables to use across various teams, without the need to ingest all of them. This has saved the company up to £260,000 annually and reduced manual data handling, freeing teams to focus on optimizing customer experiences and driving growth.

Thanks to democratized data access, all departments are leveraging self-serve data to make decisions, building their own reports and conducting analysis. What used to take several months is now accessible to any Trinny London employee in minutes. Internal teams no longer need to manually aggregate or compile data and reports. It’s so efficient that they need just one employee to manage the entire data platform, which serves more than 200 people.

The results:

  • Full visibility across marketing platforms, optimizing cross-channel campaign performance 
  • Gained the capabilities of an entire data engineering team, saving up to £260,000 annually
  • 50%+ of employees have access to self-service data, eliminating bottlenecks and boosting agility
“Thanks to Fivetran, a single data engineer manages our entire data platform for over 200 people, seamlessly ingesting millions of rows of data daily. It's a true testament to the power and efficiency of Fivetran.”
— Don Tran, Technical Director, Trinny London

Read the case study: Trinny London achieves up to £260K in savings

Driving efficiency and savings in the enterprise with Fivetran and Google Cloud

Modernizing data infrastructure eliminates outdated systems, reduces maintenance costs, and enables faster, more accurate decisions that drive savings and efficiency. Gill Capital, Vida Health, Nando’s, and Trinny London highlight how Fivetran and Google BigQuery transform disconnected systems into centralized, real-time sources of truth. By automating workflows and reducing manual efforts, these companies have achieved measurable savings while empowering teams to focus on strategic growth initiatives.

Whether it’s driving a 121% boost in sales, saving £260,000 annually, or cutting data engineering time by 80%, the impact of modernizing with Fivetran and Google Cloud extends beyond cost savings. These enterprises have built agile, scalable systems that enable innovation, optimize customer experiences, and ensure long-term growth.

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