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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Inaugural AI in Data Management Summit NYC Sets New Benchmark in AI Discussion

A-Team Group’s inaugural AI in Data Management Summit NYC set a new benchmark in the global discussion around artificial intelligence. Leading figures from the worlds of finance and technology gathered in New York to share best practice guidance and observation, real-world case studies and forecasts for the exciting – and challenging – year ahead. The...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The Data Management Implications of Solvency II

Bombarded by a barrage of incoming regulations, data managers in Europe are looking for the ‘golden copy’ of regulatory requirements: the compliance solution that will give them most bang for the buck in meeting the demands of the rest of the regulations they are faced with. Solvency II may come close as this ‘golden regulation’:...