AI-Powered Test Data Management for Avaloq Testing

Why synthesized for Avaloq testing?

Accelerate Avaloq implementations with automated test data

Streamlined core banking testing

Accelerate testing of essential banking operations, including payments, securities processing, and compliance checks, with readily available, accurate test data.

Reduced downtime by identifying and resolving system issues faster, ensuring uninterrupted banking services and enhanced user satisfaction.

Automated full data coverage

Simulate complex investment scenarios and portfolio strategies with comprehensive synthetic data, ensuring robust and reliable wealth management solutions.

Test and refine advisory tools and algorithms with diverse and accurate data sets, leading to better investment recommendations and client outcomes.

Advanced analytics validation

Validate data analytics and reporting functionalities with high-fidelity test data, ensuring accurate and insightful business intelligence outputs.

Ensure that predictive models and data-driven strategies are tested thoroughly for reliability and effectiveness.

Freedom from production data

From production-like database generation to automated data profiling, Synthesized means risk is removed and your team can focus on delivering.

Automatically apply codified business and compliance rules to all data provisioning processes, maintaining regulatory standards and business requirements.

Quick access to data snapshots

Get the flexibility to choose the approach that aligns with your team’s specific requirements.

Avaloq Enage

Synthesized automates the generation of secure, anonymized data for testing, ensuring reliable, production-like data is available across various channels, while meeting strict privacy regulations.

Avaloq Wealth

Synthesized’s test data solution ensures that your Avaloq Wealth systems are tested with production-like data, enabling accurate performance and functionality validation. Replicate complex financial scenarios, helping wealth managers and financial institutions deliver seamless and compliant services faster.

Avaloq Insight

Synthesized provides predictive, anonymized data that supports comprehensive analytics testing, ensuring your insights are accurate and actionable.

Avaloq Core

Synthesized provides comprehensive test data infrastructure that replicate real-world data flows, ensuring that Avaloq Core performs reliably under various conditions.

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Test data for a complex world

Scalability

Support even the most complex testing environments with scalable data solutions. Create compliant, personalized customer profiles, test system resilience under high loads and complex scenarios.

Compliance

Maintain high standards of data security while testing complex analytics scenarios. Ensure that all test data adheres to privacy laws, reducing the risk of breaches.

In-sync environments

Generate high-quality, production-like synthetic data that mirrors the complexity of Avaloq's data structures without exposing sensitive information.

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Preserve data consistency

AI-powered data consistency

Synthesized leverages AI to preserve data consistency across development environments, ensuring that provisioned data accurately reflects the state of Avaloq production databases.

Transactional data operations

Synthesized supports transactional data operations to maintain data consistency during provisioning processes, guaranteeing reliable and reproducible results for Avaloq applications.

Dynamic data refresh

Synthesized offers dynamic data refresh capabilities to keep provisioned databases synchronized with changes in Avaloq production data, minimizing discrepancies and ensuring up-to-date testing environments.

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A new approach, beyond tools

Not just fake data

Rapid generation of test data for all Avaloq environments, enabling faster and more efficient testing cycles. Simulate real-world use cases to validate system performance and functionality.

Faster, without the risk

Accelerate development timelines while reducing the risk of errors. Securely mask sensitive data fields while preserving data integrity and consistency across interconnected systems.

CI/CD...now CT

Integrate test data generation into your continuous integration and delivery workflows to support agile development practices.

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Provision reliable data subset

AI-Driven Data Selection: Synthesized employs AI algorithms to intelligently select and provision data subsets that closely resemble production environments, ensuring that development and testing activities are conducted with realistic and representative datasets.

‍Efficient Resource Utilization: By generating right-sized data subsets tailored to specific use cases, Synthesized optimizes resource utilization in development environments, minimizing wastage and improving efficiency.

‍Seamless Integration with Cloud Environments: Synthesized seamlessly integrates with cloud platforms to create ephemeral databases for development and testing purposes, offering a cost-effective alternative to using production databases in the cloud.

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Preserve data consistency

AI-Powered Data Consistency: Synthesized leverages AI to preserve data consistency across development environments, ensuring that provisioned data accurately reflects the state of production datasets.

Transactional Data Operations: Synthesized supports transactional data operations to maintain data consistency during provisioning processes, guaranteeing reliable and reproducible results.

Dynamic Data Refresh: Synthesized offers dynamic data refresh capabilities to keep provisioned datasets synchronized with changes in production data, minimizing discrepancies and ensuring up-to-date testing environments.

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Protect customer data privacy

AI-Enhanced Data Masking: Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

Role-Based Access Control Integration: Synthesized integrates role-based access control mechanisms to restrict access to sensitive customer data, ensuring compliance with regulatory standards and mitigating privacy risks.

AI-Enhanced Data Masking: Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

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Testing UI, not with all the data, with the right data

Think of tables with paging, filtering and sorting. Abnormal behavior of those components is often overlooked and hard to catch using traditional low-level tests. This requires a realistic amount of data in terms of number of records. With Synthesized, generated databases are the right size for the need so you remain efficient.

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