Duck Creek testing with production‑like test data

Duck Creek is the foundation for policy, billing, and claims management at leading insurers—spanning property & casualty, specialty, and multiline providers. But extensive customizations and integrations make comprehensive testing a challenge—risking compliance gaps and slow releases.

Synthesized delivers secure, production-like test data at scale, so Duck Creek teams in insurance and public sector organizations can accelerate deployments, validate integrations, and ensure every release is reliable.

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Duck Creek
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Challenges and how Synthesized solves them

Complex configurations and integrations

Duck Creek’s flexibility means each implementation is unique, making manual test data creation slow and error-prone. Synthesized automates compliant, scenario-rich datasets tailored to your configurations and integrations.

Frequent regulatory changes

Insurance regulations evolve rapidly. Synthesized streamlines compliant data provisioning—enabling fast, audit-ready testing across policy, billing, and claims updates.

Manual data preparation increases risk

Hand-crafted test data is slow, incomplete, and hard to scale. Synthesized automates data generation and refreshes, improving coverage and reducing manual effort.

End-to-end process validation

Policy, billing, and claims workflows span Duck Creek and other systems. Synthesized provides consistent data across platforms to validate real business scenarios.

Environment sprawl and data drift

Multiple test environments and distributed teams lead to inconsistencies and duplicated work. Synthesized standardizes provisioning with reusable workflows, improving repeatability and reducing costs.

Manual QA

Manual testing eats up 30% of overall development efforts

Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
Data compliance risks

With regulations changing yearly, fines are no longer an “if” but a “when”

Data privacy and residency requirements are evolving faster than most teams can adapt. Manual compliance checks and legacy test data management tools create bottlenecks, increase the risk of violations, and make it nearly impossible to ensure every release meets global standards—putting your business at risk of costly fines and reputational damage.
High costs

The cost of releasing quality software has never been higher

Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
Why synthesized

Synthesized is built for Duck Creek

Accelerate Duck Creek upgrades and releases

Provision compliant, production-like data on demand to de-risk upgrades, migrations, and new product rollouts.

Enhance regression and compliance testing

Continuously feed test suites with realistic data to catch issues earlier and ensure regulatory compliance.

Reduce risk by design

Apply automated masking, anonymization, and audit trails to meet GDPR, PCI DSS (when payments are present), SOX, and internal audit requirements.

Strengthen end-to-end policy, billing, and claims validation

Deliver consistent data across Duck Creek and connected applications to validate real business scenarios at scale.

Covering Duck Creek testing needs

High-fidelity data for policy, billing, claims, and rating

Generate realistic datasets across core Duck Creek modules—aligned to your configurations.

Migration and upgrade support

Standardize data across legacy and modern Duck Creek environments to validate process and product changes.

Cross-system integration validation

Provision coherent data for Duck Creek plus adjacent platforms (e.g., Salesforce, data warehouses, payment gateways) to test end-to-end flows.

Performance and load-ready datasets

Create scaled, representative data volumes to evaluate performance and stability before peak events.
Partners & integrations

Built to work with your ecosystem

We understand that today’s production data pipelines and development environments are complex and dynamic. So while you can use Synthesized to generate production-like data for your specific POC, it also works with your specific technologies.
OracleJenkinsAWSWhereScapeGoogle BigQueryAmazon RedShiftMicrosoft AzureEC2MySQLCircleCIS3GitLabWindows ServerGitHub ActionsGoogle CloudBigIDMicrosoft SQL ServerIBM DB2MariaDBSalesforceSAP SybaseGoogle Cloud Storage
Generate

Data generation for any development and QA use-case

Streamline the database generation process, ensuring the availability of high-quality production-like data for testing while removing manual effort and accelerating development cycles.
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Generate
Mask

Reduce the risk with codified regulatory rules

Ensure regulatory compliance and reduce risk by encoding masking policies that protect sensitive data from breaches and legal liabilities.
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Mask
Subset

Access the right data, not all the data

Enable secure, role-specific data access, or create tailored subsets and selectively mask sensitive information to balance usability and protection.
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Subset

Talk to the team

Generate high-fidelity production-like databases for testing and development with only a prompt.
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