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

Recorded Webinar: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

New Data Partnership Approach Urged for Investors in SimCorp Report

Investment managers must take a fresh approach to data management, stressing trusted partnerships with outside expertise over traditional outsourcing models, as they seek to adapt to a rapidly changing economic landscape, a report has urged. The binary build-versus-buy strategy that has been the basis of innovation adoption for decades has been upended by advances in...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...