Financial synthetic data for agile and compliant projects

Work with sensitive data at scale, get unmatched data quality and compliance with synthetic financial data.

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Synthetic data for finance enterprises

GLOBAL ENTERPRISES THAT ALREADY USE SYNTHETIC DATA

Process sensitive data without compromising privacy

For financial institutions, leveraging customer data at the enterprise scale remains a challenge due to silos, regulations, and security concerns.

Diminished ability to examine customer data as a source of insights leads to a loss of competitive edge.

Financial synthetic data allows you to eliminate the traditional silos and compliance barriers of accessing and working with sensitive data.

Share customer data easily and safely to drive AI and Machine Learning activities, build better products and open up revenue opportunities.

Statistically sound

Scale your business operations with high-quality data

Traditional de-identification methods reduce data utility, leaving you with low-grade or insufficient results unsuited for machine learning or analysis.

Synthetic financial data offers a statistical value similar to the original data. It's fit to use as a drop-in replacement for your data science operations.

quality synthetic insurance data
secondary use synthetic insurance data

Demonstrably private

Ease secondary uses of financial data

As organizations are unable to anticipate all secondary uses of the data, exhaustive consent collection isn't practical. Additionally, data masking can lead to fines and data disclosures if re-identification happens.

Using our privacy-preserving method, you can remove synthetic data from the scope of personal data regulations, simplifying the application of secondary data.

Fast to generate

Reduce your time-to-data

Data should drive product development and fuel analysis, but instead, complicated and inefficient processes prevent teams from accessing, sharing, and leveraging it.

Synthetic data generates large volumes of data that can be used for BI, analysis, machine learning, easily accessed and shared.

time to data synthetic insurance data

⟶ Learn more about the Statice software

Here's what our partners say about synthetic data:

“We have recognised the challenges companies face when dealing with their data and are constantly designing new strategies and tools for this purpose. Thanks to Statice’s technology and methodology for data anonymization, companies can mine their data treasures in a GDPR-compliant manner.”

Dr Ulrich Störk, Chairman of the Management Board at PwC
Germany
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Applications of synthetic financial data

Unify customer data across jurisdictions

Internally or externally share synthetic customer data across local and international entities, making it available to the relevant stakeholders.

Leverage data for secondary uses

Reduce compliance overhead by using highly representative synthetic data in your data science operations.

Train predictive analytics algorithms

Improve your churn models or fraud detection systems by training your models with large volumes of synthetic claim or transaction data.

⟶ Read our brochure for more synthetic financial data uses

Ready to go synthetic?

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