September 2025 Summaries

Fivetran has been recognized as a Leader in the Data Integration and Modeling category of Snowflake's Modern Marketing Data Stack 2026 report for the fourth consecutive year, underscoring its commitment to enhancing data management for marketing teams. The acquisition of Census has expanded Fivetran's capabilities, allowing it to provide a comprehensive 360-degree customer view and improve return on investment by activating data in everyday marketing tools. The report highlights Fivetran's role in helping organizations bridge data silos and achieve full customer visibility, a challenge that only 14% of companies have overcome according to Gartner. Companies like Blinkist and Canva utilize Fivetran to streamline data integration, significantly reducing the time and resources spent on data pipeline maintenance and enabling more personalized, efficient marketing strategies. Fivetran's pre-built connectors also benefit Snowflake, which uses them to automate data ingestion and obtain a real-time, comprehensive understanding of its customers, thereby enhancing campaign insights and segmentation. As the demand for accurate and timely data grows, particularly with the rise of AI-driven use cases, Fivetran is poised to continue supporting businesses in making informed decisions and fostering innovation.

Retail and consumer packaged goods (CPG) companies face challenges in meeting customer expectations due to fragmented data across various platforms, which hampers decision-making and growth opportunities. The partnership between Fivetran and Google Cloud Platform (GCP) addresses these issues by providing a centralized data ecosystem that enhances efficiency and customer loyalty. Fivetran automates data ingestion from multiple sources, while GCP offers a scalable infrastructure for storing and analyzing data. This collaboration has empowered brands like Trinny London, Nando's, and Katkin to streamline operations, reduce costs, and gain real-time insights. For instance, Trinny London has achieved significant cost savings and operational efficiency through a unified data environment, Nando's has improved customer loyalty by automating data flows, and Katkin has enhanced subscriber retention with centralized data and predictive modeling. By modernizing data strategies with Fivetran and GCP, companies can break down data silos, drive personalization, and achieve measurable business outcomes.

Modern data lakes offer a solution to the common challenges faced by technical teams in managing data platforms, such as complexity, vendor lock-in, rising costs, and limited data retention. By decoupling storage from compute and embracing open table formats, data lakes provide a more flexible, cost-efficient, and simplified architecture. The Fivetran Managed Data Lake Service further enhances these benefits by automating data ingestion, absorbing compute-heavy pipeline costs, and eliminating the burden of maintaining complex infrastructures. This service addresses compliance issues by centralizing and deduplicating data storage, supports diverse compute engines to avoid vendor lock-in, reduces costs by eliminating redundant data ingestion, and offers unlimited, cost-effective storage for historical data. By integrating the scalability of data lakes with the usability of data warehouses, Fivetran's service enables data teams to manage fewer pipelines, choose optimal query engines, and maintain lower and more predictable costs, all while preserving historical data without performance trade-offs.

Manufacturers are grappling with macroeconomic challenges such as geopolitical tensions, volatile demand, rising costs, and supply chain disruptions, alongside internal issues like talent shortages and data silos. These challenges are exacerbated by fundamental data issues, with many manufacturers still relying on manual data entry and struggling to integrate diverse data sources, which hampers their ability to leverage AI and predictive analytics effectively. Companies are beginning to explore generative and non-generative AI to enhance forecasting, design, and communications, aiming to improve operational efficiency and reduce costs. Tredence and Fivetran offer solutions to these challenges by providing unified data architectures, scalable data ingestion processes, and AI-driven insights, enabling manufacturers to optimize their operations and build supply chain command centers for real-time decision-making. An example of successful application is an aluminum manufacturer that reduced production stoppages and improved product quality through predictive models and real-time data integration, demonstrating the potential for significant business value from advanced data and AI technologies in manufacturing.

In the evolving financial landscape, data serves as a crucial competitive asset for institutions aiming to enhance underwriting, investment strategies, and client experiences. Fivetran's automated data integration, combined with the scalable Databricks Lakehouse platform, empowers financial organizations to centralize and utilize data for advanced analytics and AI/ML, while optional reverse ETL tools like Census facilitate syncing insights back into operational systems. Despite the digital transformation, financial services face challenges such as legacy systems, data silos, and security pressures, which Fivetran and Databricks address by offering a modern, low-code data infrastructure that reduces manual upkeep and supports real-time analytics. This infrastructure ensures compliance and enhances operational efficiency, as demonstrated by National Australia Bank's successful modernization efforts, illustrating the potential for financial institutions to unlock new capabilities and drive innovation by leveraging a unified data stack.

Fivetran has acquired Tobiko Data, the company responsible for SQLMesh and SQLGlot, to enhance its fully managed, end-to-end platform that unifies data movement, transformation, and activation. This move aims to reinforce Fivetran's capacity to assist data teams by integrating Tobiko Data's advanced transformation capabilities, which are particularly suited for production-grade environments requiring speed and reliability. With features like intelligent model tracking, multi-engine SQL support, and semantic SQL understanding, Tobiko Data enhances how customers can deliver trusted, AI-ready data efficiently. The acquisition aligns with Fivetran's commitment to maintaining an open, interoperable ecosystem and strengthens its partnerships with key players like dbt Labs and Coalesce. Customers will continue to experience the same reliability, with expanded transformation capabilities becoming available, enabling enterprises to prepare data for analytics, operations, and AI in a more automated and governed manner.

The Chief Data Officer (CDO) role is recognized as one of the most challenging in the business world, with a limited timeframe to prove its value, and the first 90 days being crucial for establishing credibility. Johnathan Tate, CDO at Bridgestone Americas and former leader at Walmart, Nike, and Deloitte, emphasizes starting with trust rather than immediate project implementation. His approach involves listening to stakeholders, understanding challenges, and delivering quick, tangible wins to build credibility and support for long-term strategies. Tate advocates a shift from a technologist's mindset to that of a business strategist, focusing on outcomes tied to key performance indicators rather than theoretical returns on investment. As business intelligence (BI) evolves, CDOs must guide their organizations in using AI for routine reporting while developing narrative-rich dashboards for executive decision-making. Tate advises CDOs to lead with empathy, connect projects to measurable value, stay engaged with the business, and take early actions to build lasting influence.

Fivetran serves as a fully managed data movement platform that enhances business efficiency by automating data integration, reducing IT costs, and freeing engineering resources for innovation and strategic initiatives. Companies such as Oldcastle Infrastructure, Red Ventures, Saks, and Paylocity have leveraged Fivetran to achieve substantial returns on investment by streamlining data processes, which result in improved analytics, AI initiatives, and operational scalability without increasing headcount. Oldcastle Infrastructure centralized data integration, saving hundreds of hours and projected multimillion-dollar returns, while Red Ventures managed data for more clients without additional personnel, reducing integration times significantly. Saks utilized Fivetran to drive AI-driven personalization and customer experience improvements, and Paylocity achieved a single source of truth for customer data, cutting customer acquisition costs and pipeline development time. These cases highlight Fivetran's role as a force multiplier in data-driven processes, enabling companies to reclaim high-value work and maximize the ROI from their data investments.

Cisco is modernizing its enterprise data strategy by breaking down data silos and creating a scalable, AI-ready platform that supports self-service and innovation. To overcome the complexities of its vast data environment and accelerate real-time insights, Cisco rearchitected its data stack using Fivetran for automated data movement, Snowflake for centralized storage, and dbt for transformation and modeling. This approach has significantly reduced the operational overhead of pipeline maintenance, eliminated redundant data work, and improved data governance, while maintaining enterprise-grade security. The adoption of a shared data marketplace has empowered business users to independently access and explore trusted data sets, fostering a culture of decentralization. As Cisco advances its AI strategy, the integration of on-prem data sources through Fivetran's Hybrid Deployment capability aims to unify all data movement under a single platform, ensuring control and compliance. This modern infrastructure not only enhances operational efficiency but also positions Cisco to leverage AI for future innovations.