Global enterprises easily mire themselves in complexity. The day-to-day maintenance of data across legacy systems, third-party apps, manual processes, and siloed data is overwhelming. As organizations scale, managing this complexity becomes a roadblock to innovation, hindering efficiency and growth. The solution: a modernized data infrastructure that automates data integration, centralizes data, and builds the foundation for real-time insights.

Companies like HubSpot, Saks, DocuSign, and Oldcastle Infrastructure are leading the way, leveraging Fivetran and Snowflake to simplify their data operations. Centralizing their data with Fivetran and Snowflake has improved each business’s decision-making and operations, unlocking new opportunities for growth.

HubSpot: Centralized data powers AI-driven workforce planning

HubSpot, a leading sales and marketing software company, relies on data to optimize its internal workforce planning and productivity analysis. To support its growth plans with reliable metrics and analysis, HubSpot sought a solution to automate data workflows and eliminate the inefficiencies of manual ETL processes.

Using Fivetran, HubSpot automated its data pipelines, enabling the team to access real-time insights critical for forecasting and planning from Snowflake. Fivetran’s seamless integration with Snowflake supports advanced generative AI (GenAI) model development, providing HubSpot with cost-effective solutions to spot and analyze trends that drive innovation and boost productivity.

The results:

• Improved predictive metrics accuracy by 90% to within 3-5% of actual results
• Reduced pipeline development from 6-10 weeks to under an hour
• Saved $100,000 in data engineering labor in the first year

“Thanks to Fivetran, our focus has shifted entirely to where it truly matters: diving deep into the data and uncovering valuable insights that help us better forecast labor supply and demand, analyze skill gaps, predict future needs, and ultimately help us understand how strategic HR affects different areas of our business.”
— Sandro Frattura, Analytics Engineering Manager, HubSpot People Operations

Read the case study: HubSpot powers GenAI, saves $100,000 with Fivetran

Saks: Personalizing the luxury shopping experience using GenAI

Saks, one of the world’s most iconic luxury e-commerce brands, faced limitations with its home-grown ETL pipelines as it sought to increase its use of data for analysis and decision-making. As the company pursued AI-driven personalization, moving data with DIY pipelines proved to be inefficient, expensive, and unscalable. Its vision required faster data availability, consistent reporting across the business, and the ability to experiment with AI/ML models.

With Fivetran, Saks automated data integration from dozens of key data sources into Snowflake, creating a centralized system for real-time analytics and metrics. This unified data environment now serves many teams across the business, providing more efficient operations, the ability to experiment, and reliable metrics. Saks is also tailoring its marketing campaigns and optimizing consumer interactions for high conversions and brand loyalty.

The results:

• Consistent KPI reporting across the enterprise and its brand partners, allowing for faster decision-making and increased data utilization
• A modern, cloud-based data stack that enables technological experimentation with AI/ML
• Onboarding 35 data sources in 6 months, syncing data every 5 minutes

“Our ecosystem of Fivetran, Snowflake and dbt allows us to do in 2 weeks what could take 6 months to do. We can experiment, try things and scale up quickly to take advantage of opportunities as they come.”
— Mike Hite, CTO at Saks

Read the case study: Saks achieves data efficiency & enables AI with Fivetran | Case study

DocuSign scales faster with automated pipelines and centralized data

DocuSign, the world’s leader in e-signature technology, faced scaling issues when its SQL Server database struggled to meet growing data demands. The team needed a cloud-based architecture that could perform analytics at a global scale and support cross-departmental data access.

Fivetran enabled DocuSign to migrate to Snowflake, automating data integration from dozens of business-critical data sources. Fivetran’s vast connector library allowed DocuSign to access 3x more data sources than it previously could and freed engineers from time-consuming ETL maintenance. With its modernized data stack, DocuSign now supports faster decision-making and empowers teams across the organization.

The results:

• Data flowed from Fivetran into Snowflake in under 20 minutes
• Increased BI team productivity by at least 2x
• Created over 100 active dashboards that employees use daily

“We really like what Fivetran enables us to do. It is incredibly easy, fast, and reliable. This has been a paradigm shift for us — it is the future of data pipelines and ETL, and Fivetran is at the forefront of it.”
— Marcus Laanen, Senior Manager Business Intelligence at DocuSign

Read the case study: DocuSign Regains Engineering Time and Saves Money With Automated Data Pipelines

Oldcastle Infrastructure: Millions in ROI through unified data access

Oldcastle Infrastructure, a long-term industry leader in engineering solutions, struggled with siloed data from NetSuite ERP, SQL Server, and other operational systems. This fragmentation hindered decision-making and resource planning. The data team got stuck moving data from SQL to Azure 8 months into a cloud migration project.

With Fivetran, Oldcastle moved its business-critical data to Snowflake, creating a single source of truth accessible across departments. The company replicated its data in just 10 business days from both on-prem and cloud ERPs, saving $360,000 in setup and maintenance costs. This modern infrastructure supports operational insights, streamlines resource planning, and enhances forecasting accuracy. The work resulted in several million dollars in ROI and a foundation for scalable growth. It also resulted in reduced manual warehouse maintenance and administrative DBA tasks, allowing data teams to focus on higher-value work.

The results:

• Grew operating profit 21.5% thanks to updated BI systems and improved data
• Seven-figure ROI in the first 12-18 months
• Savings of up to $750,000 in IT maintenance costs every 4 years

“With Fivetran, I replicated all of our data in 10 business days — every table and every field — from both our on-prem and cloud ERPs, which saved us about $360,000 in initial setup and maintenance of our SQL Server and Netsuite connectors.”
— Nick Heigerick, IT Manager of BI at Oldcastle Infrastructure

Read the case study: Oldcastle Infrastructure Sees Multiple Millions of Dollars in ROI with a Modern Data Stack

Enterprises thrive on smarter data with Fivetran and Snowflake

HubSpot, Saks, DocuSign, and Oldcastle Infrastructure have shown what Fivetran and Snowflake can do for enterprises looking to achieve AI-driven innovation. With automated and centralized data integration, these companies have eliminated every obstacle in the way of predictive analytics, AI, and personalized customer experiences. 

These results aren’t just incremental improvements. They’re strategic advancements that position these enterprises to lead their industries. A modernized data infrastructure is a critical foundation for competitive advantage and sustainable growth in today’s data-driven economy.

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