About a-team Marketing Services
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: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at buy-side and sell-side institutions across the USA, UK and Canada, reveals a market in transition: from...

BLOG

Institutions’ Data Governance Capabilities Strengthening Amid AI Adoption

Financial institutions are leading the way in strengthening their data governance capabilities as artificial intelligence reshapes the industry, research by the Enterprise Data Management Association (EDMA) found. The study, published in the international organisation’s annual Global Data Management Benchmark Report, found that financial organisations scored the highest, and beat all all other industries, in their...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...