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Gestión de datos de pruebas

Provision compliant test data at scale for every environment

With insufficient production data, testing bottlenecks are inevitable. Our cost-effective data provisioning platforms and tools will help your development teams generate the right data in the right format for every environment. Not only does this ensure compliance with regulations but it also improves quality, accelerates test cycles and stops sensitive customer data.

Consulte a un experto en pruebas

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Confiado por organizaciones líderes

Ayudar a las organizaciones a mejorar la calidad, la resiliencia y la confianza en la ejecución en entornos digitales complejos.

Accelerate test cycles across multiple environments with instant access to masked, realistic datasets

We define how test data should be created, governed and consumed across your lifecycle. This ensures that test environments are supplied with sufficient compliant data. Aligned with DevOps and Agile methodologies, our strategic partnership with Synthesized.io delivers continuous testing and quality at enterprise scale. If your testing is large-scale and high-volume in nature, we provide high-fidelity, AI-generated data, designed specifically for automated regression, performance and load testing.

Our teams also support automated data pipelines which means you get predictable, reusable test data alongside data integrity and validation checks for data-heavy and integration-rich ERPs.

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VENTAJAS

How Resillion boosts delivery with test data management

At Resillion, we treat test data management as a core quality engineering capability that delivers business outcomes, such as:

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Reducción de los obstáculos a la entrega

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Mayor cobertura de las pruebas

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Improved data quality

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Minimal privacy, security and regulatory risk

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Compliant with data protection and regulatory requirements

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Production-realistic data

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Reduced likelihood of audit failures

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Supports continuous testing

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You get exhaustive, high-quality data for enterprise-scale and ERP testing

Resultado

Supports automated, continuous testing for reliable testing outcomes

¿POR QUÉ AHORA?

¿Todavía dudas? ¡Mira qué está en juego!

If you’re not convinced by Resillion’s expertise in Test Data Management, consider what you’ll be up against without it:

Testing delays

Poor-quality or incomplete test datasets

Increased delivery bottlenecks

Pérdida de cobertura de pruebas

Non-compliant or audit failures

Increased rework and testing costs

Limited or no ability to scale testing as needs evolve

Lack of support for test automation data provisioning needs

Unreliable test outcomes

Nuestros expertos

Elliot Kimmel

Experto en automatización de pruebas, ETL, pruebas de rendimiento y estrategia de entrega

Elliot es un profesional de Ingeniería de Calidad con más de 27 años de experiencia en la implementación de soluciones de pruebas y calidad a escala empresarial en entornos tecnológicos complejos.

Más información

Abhinav Panigrahi

With over a decade of experience as a Specialist Data Engineer, I specialize in architecting and optimizing large-scale data solutions that drive innovation and efficiency.

Más información

Preguntas frecuentes

No encontraste la respuesta que buscabas? Nuestro equipo estará encantado de ayudarte, solo tienes que contactarnos y te volveremos a contactar en breve.

We already use production data for testing. Why do we need test data management?

Using production data can create security, privacy and compliance risks, particularly when sensitive customer information is involved. Test data management helps you create, mask or generate realistic datasets that enable effective testing while protecting confidential information and supporting regulatory requirements.

What types of test data does Resillion provide?

We support a full spectrum of enterprise-grade test data, including:
• Synthetic data generated via AI for compliance and scale
• Masked or anonymised production data to protect sensitive information
• Subsetted production data for targeted testing
• Golden datasets for regression validation
• High-volume datasets for performance and load testing
This ensures your tests are realistic, repeatable, and audit-ready.

We already comply with data protection regulations. Why do we need additional controls around test data?

Compliance requires more than simply restricting access to production systems. Test data management helps you apply masking, anonymisation and governance controls to testing datasets, reducing the risk of exposing sensitive information while supporting regulatory and audit requirements. This includes sensitive information such as PII, PHI, financial or customer data is protected, helping you meet GDPR, PCI-DSS, HIPAA, ISO 27001, and internal audit requirements.

How does test data management improve test coverage?

Our curated, scenario-specific datasets enable testing across positive, negative, edge cases, integration paths, and regression conditions. Versioned data snapshots allow repeatable, consistent tests, ensuring wider coverage and more reliable results than using production copies alone.

How does test data management support automation and CI/CD pipelines?

Resillion integrates test data provisioning directly into CI/CD workflows, delivering pre-approved, consistent datasets for automated regression, API, and integration testing. This speeds up testing, improves stability, and supports large-scale, continuous test automation.

What is Synthesized.io and how does Resillion use it?

Synthesized.io is an AI-driven platform that generates high-quality, statistically accurate, privacy-preserving datasets. Resillion leverages it to:
• Produce large-scale synthetic test data quickly
• Replace risky production data with compliant, safe datasets
• Cover rare edge cases for robust testing
• Accelerate automation and integration workflows
This is ideal for enterprises where privacy, scale, or complexity make traditional masking insufficient.

Can't our teams create test data manually when they need it?

Manual test data creation is often time-consuming, inconsistent and difficult to scale. As your applications, environments and testing requirements grow, generating and maintaining suitable data can quickly become a bottleneck. Test data management provides a repeatable, governed approach that ensures your teams always have access to the right data at the right time.

Our testing involves large and complex systems. Can test data management support enterprise-scale environments?

Yes. Test data management is particularly valuable in large, integration-rich environments where multiple applications, teams and test environments depend on accurate, consistent data. By providing high-fidelity, reusable datasets at scale, you can improve testing reliability, increase coverage and support continuous delivery across complex programmes.

LOS SISTEMAS DE ENERGÍA ESTÁN ENCONTRADOS EN RELACIÓN

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Total Quality para la energía y los servicios públicos

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Gestión de datos de pruebas

Provision compliant test data at scale for every environment

Confiado por organizaciones líderes