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Experian Integrates Aperture Data Studio with Snowflake


Experian Integrates Aperture Data Studio with Snowflake
  • by: Source Logo
  • |
  • February 12, 2026

Experian, a global data and technology company, today launched the integration of its Aperture Data Studio platform with Snowflake, the AI Data Cloud company. This collaboration allows joint customers to perform powerful data quality workflows—profiling, cleansing, transformation, and validation—entirely within Snowflake’s secure environment, eliminating the need to move sensitive data outside the platform.

Quick Intel

  • Experian Aperture Data Studio now runs natively on Snowflake, combining Experian’s data quality and governance expertise with Snowflake’s scale, performance, and security.
  • Data remains within Snowflake’s secure perimeter, reducing compliance risk and supporting regulated industries.
  • Customers can create intuitive workflows in Aperture Data Studio and execute them near-instantly on Snowflake for faster data management.
  • The solution unifies data quality and governance efforts, delivering accuracy, compliance, and confidence at enterprise scale—essential for AI and analytics initiatives.
  • Aperture Data Studio supports data, models, and AI agents, ensuring data is always fit for purpose and ready for advanced use cases.
  • Available globally to Snowflake customers, the integration marks the beginning of a strategic partnership focused on trusted data foundations.

Building Trusted Data Foundations

Data quality remains a foundational challenge for organizations pursuing digital transformation and AI adoption. Many struggle to derive real business value from data due to inconsistencies, incompleteness, or compliance gaps. By embedding Aperture Data Studio within Snowflake, Experian enables customers to address these issues without data movement, preserving security and accelerating time-to-insight.

Andrew Abraham, Global Managing Director, Data Quality, Experian, said: “Data is the foundation of every transformation, yet many businesses struggle to turn it into real business value. With the rapid emergence of AI technologies, quality, accurate data is fundamental to its success. Our collaboration with Snowflake brings together Experian’s expertise in data quality and governance with the scale, performance and flexibility of Snowflake’s platform. This will allow businesses to not only innovate faster, stay compliant, and reduce risk, but also make trusted data a reality. Today marks the start of our joint efforts to bring Experian’s powerful data quality capabilities to where Snowflake customer data lives.”

Rinesh Patel, Global Head of Financial Services, Snowflake, added: “With the launch of Experian’s integration with the Snowflake AI Data Cloud, we look forward to driving deeper value for our joint customers. This integration enables customers to build a trusted, compliant data foundation that reduces risk, accelerates AI adoption and supports smarter decision‑making.”

Key Benefits of the Integration

  • Security and Compliance: Data never leaves Snowflake’s secure environment, minimizing exposure and supporting regulatory requirements.
  • Speed and Efficiency: Intuitive Aperture workflows execute rapidly on Snowflake’s scalable compute, reducing processing time.
  • Unified Governance: Centralized cataloging, management, and control of data quality across the enterprise.
  • AI Readiness: High-quality, governed data powers more reliable models, agents, and analytics outcomes.

The integration is now available globally to joint Snowflake and Experian customers, strengthening both companies’ ecosystems for data-driven innovation.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

  • Data QualityData GovernanceAI Data Cloud
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