About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Facteus Partners Snowflake to Migrate Sensitive Data to the Snowflake Data Cloud

Subscribe to our newsletter

Facteus, a provider of actionable insights from sensitive data, has joined Snowflake’s partner network with a focus on enabling financial services organisations to use its Mimic synthetic data engine and data enrichment services to transform, enhance, and migrate sensitive data to the Snowflake Data Cloud.

Mimic is installed behind an organisation’s firewall and uses proprietary machine learning technology to create a synthetic copy of sensitive data, such as raw transaction data. This data transformation process removes sensitive personally identifiable information (PII), while maintaining statistical relevance back to the original data source. The synthetic data cannot be reverse engineered back to the original transaction or organisation.

Facteus’ data enrichment services cleanse, enhance and prepare the synthetic data for use in analytics, machine learning and AI, marketing and segmentation activities, and data monetisation to create new revenue streams.

“Financial services organisations have wrestled with how to safely and securely migrate crucial systems and data to cloud-based environments. Many organisations lack the resources to make the conversion or remain hesitant to store sensitive data in the cloud,” says Chris Marsh, CEO at Facteus. “Through this partnership, organisations can transform their data into privacy-compliant synthetic data that can be safely migrated to Snowflake’s Data Cloud and take advantage of the available computing power, analytics tools, and data marketplace.”

Matt Glickman, vice president customer product strategy, financial services at Snowflake, adds:  “The combination of Facteus’ platform with Snowflake’s Data Cloud enables financial services firms to safely and securely transform their organisation through data.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are...

BLOG

Three Predictions for the ESG Year Ahead from ESG Data and Tech Briefing Keynote Speaker Barrie Ingman

What a difference a year makes. At A-Team Group’s last big ESG event, in the spring of last year, delegates were still buoyant about the ESG space even after a bruising 12 months in which anti- sustainability rhetoric had risen again. Calls among conservatives in the US to backpedal on regulatory controls combined with the...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...