What challenges did Pfizer face before AI implementation?

Enterprises needed a scalable and automated method to centralize data from hundreds of sources. Traditional data movement methods were costly and required significant engineering resources. Ensuring security and compliance for sensitive, distributed workloads posed difficulties. Manual maintenance and optimization of data ingestion led to high operational overhead.

What was the impact of the AI solution?

Reduced data engineering and maintenance costs across data lakes. Streamlined data consolidation for over 500 enterprise customers. Enhanced AI and analytics readiness for enterprise organizations. Improved real-time access to consolidated, governed, and secure data.

Source

MicrosoftExpanded

Fivetran streamlines enterprise data lakes for AI and analytics

Use case typeData governanceUpdated Jun 13, 2026

Fivetran, a global leader in data movement, expanded its integration with Microsoft Fabric and OneLake, now offering over 700 pre-built connectors. This allows organizations to automatically ingest, transform, and govern data from hundreds of sources into a single, AI-ready data lake environment. The Managed Data Lake Service provides interoperability with open table formats such as Apache Iceberg or Delta Lake, reducing engineering overhead and ensuring reliable real-time data access. Security and compliance are enhanced for sensitive workloads within the Microsoft Fabric ecosystem. The integration optimizes data pipeline costs and eliminates complex engineering tasks, modernizing data infrastructure for analytics and AI. Hitachi Solutions and Interloop, among others, leverage this integration to consolidate diverse data sources and unlock new business insights. Enterprise customers like Pfizer, OpenAI, LVMH, Verizon, and Spotify use Fivetran solutions to power analytics, AI, and strategic decision-making.

Organization: Pfizer
Industry: Tech & Comms
Location: United States
Published: March 2025

Reported outcomes

Strategic outcomes

New product / capabilityAutomated data ingestion and governanceCustomer experience & trustImproved secure access to governed dataScale & capacityConsolidated data from hundreds of sourcesRisk & complianceEnhanced security and compliance for sensitive workloads

Primary read

Use case focus

Showing 3 of 3

1Automated Enterprise Data Lake Consolidation
2AI-Ready Data Integration Pipeline
3Unified Analytics Platform Deployment

Enterprises needed a scalable and automated method to centralize data from hundreds of sources.
Traditional data movement methods were costly and required significant engineering resources.
Ensuring security and compliance for sensitive, distributed workloads posed difficulties.
Manual maintenance and optimization of data ingestion led to high operational overhead.

Expanded integration with Microsoft Fabric and OneLake through 700+ Fivetran connectors.
Deployed Fivetran Managed Data Lake Service to automate data ingestion, transformation, and governance.
Enabled seamless interoperability with open table formats (Apache Iceberg, Delta Lake).
Provided robust security and compliance features within Microsoft Fabric.

Technologies

Microsoft Fabric OneLake Azure Power Platform

Reduced data engineering and maintenance costs across data lakes.
Streamlined data consolidation for over 500 enterprise customers.
Enhanced AI and analytics readiness for enterprise organizations.
Improved real-time access to consolidated, governed, and secure data.

Architecture

Fivetran's service ingests data from 700+ sources via pre-built connectors, automatically transforms it into open table formats (e.g., Apache Iceberg, Delta Lake), and loads it into Microsoft Fabric and OneLake, where security and governance are maintained. Customers access the unified data lake for analytics, AI, and reporting.

Implementation partners3

Fivetran Hitachi Solutions Interloop

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.