Public sector organizations depend on a diverse mix of legacy and modern systems—ERP, HR, case management, and citizen services platforms like Oracle PeopleSoft, SAP for Public Sector, Microsoft D365, Salesforce Government Cloud, and Tyler Technologies—to deliver essential services. But complex integrations, compliance mandates, and budget constraints make thorough testing a challenge that can slow innovation and increase risk.Synthesized empowers public sector teams to accelerate digital transformation by provisioning secure, production-like test data at scale—improving quality and reducing risk for every release.
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Manual testing and fragmented environments slow down modernization and increase risk in the public sector. Creating and managing test data across legacy and new systems is time-consuming, error-prone, and often fails to meet regulatory and data privacy requirements. This leads to delays, increased costs, and potential service disruptions. Automated test data infrastructure accelerates testing, improves accuracy, and ensures compliance—helping public sector organizations deliver reliable, secure services to citizens.
Why synthesized
Synthesized is built for the public sector
Provision compliant, production-like test data
Instantly generate secure, production-like data for Oracle PeopleSoft, SAP for Public Sector, Microsoft D365, Salesforce Government Cloud, Tyler Technologies, and other core platforms—reducing test cycle times and release delays.
Unified data management across legacy and modern platforms
Consolidate test data management for both legacy and cloud-based public sector applications, ensuring consistency and reliability in every environment.
Self-service access for distributed teams
Enable agencies and departments to access compliant test data on-demand, eliminating bottlenecks and improving productivity.
Automated data privacy and regulatory compliance
Automate data masking and anonymization to meet data residency, privacy, and government compliance requirements.
Data generation any development and QA use-case
Automate and streamline the test data generation process , ensuring the availability of high-quality production-like data for testing while removing manual efforts and accelerating development cycles.
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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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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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