Case Study: Taylor & Francis Group achieves centralised analytics and increased conversions with Fivetran

Taylor & Francis Group Opts for Fully Managed Data Pipelines from Fivetran

Taylor & Francis Group, an Informa business, struggled with a complex, in-house analytics stack built on scripts and Apache Airflow that couldn’t scale. Seeking a zero‑configuration, fully managed approach, Taylor & Francis evaluated the market and adopted Fivetran’s pre-built connectors and managed data pipelines to replicate sources like Google Analytics, Google Search Console, MongoDB and Salesforce into Amazon Redshift.

Fivetran delivered fully managed, scalable pipelines that centralized data into Redshift, enabling Taylor & Francis to use Microsoft Power BI and AWS SageMaker for richer reporting and analysis. As a result of Fivetran’s solution the publisher gained historical data access and reduced engineering overhead (avoiding the need for an estimated four to five hires), while seeing measurable business gains: increased conversions, new customers, more web sessions and improved Alexa rankings.

Taylor & Francis

Mateus Fantini

Director of Analytics