Privacy-safe customer and market insights

Make your analysis and data science projects run smoother with compliant synthetic data for insurance companies.

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synthetic insurance data

Global enterprises that trust synthetic data

Uncover better business insights
while protecting customer privacy

Data governance and regulations make it hard to get customer data at scale and on time.

Insurance companies miss out on customer experience, revenue streams, and competitive advantage without proper access.

Statice removes the traditional silos and compliance barriers to working with sensitive data by using synthetic data instead.

It's fast and safe to get data for data science use cases and customer analysis.

Statistically sound

Scale your 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 insurance 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

Unlock secondary uses of insurance 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 clients say about synthetic data:

“We have developed churn models for our insurance customers. These models rely on sensitive customer data. The Statice software protects the original data of our customers on the one hand, and on the other, enables us to work with the data across departments without compromising privacy or security issues.”

Georg Russ, Data Scientist, Data & Analytics La Mobilière
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Applications of synthetic insurance data

Unify customer data across jurisdictions

Exchange synthetic customer data internally and externally among local and international entities, enabling access to only 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.

⟶ More synthetic insurance data uses cases in our brochure

Ready to go synthetic?

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