3-step guide to smarter test data management
Curiosity’s 3-step approach to test data management allows you to gain a deep understanding of your...
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Test data continues to be one of the biggest obstacles to fast, high-quality software delivery. Yet many organisations are still reluctant to act, or even ignore their test data management (TDM) challenges altogether.
Whether enterprises rely on manual processes, use outdated tools, or are simply standing still, the cost of inaction is high: slower release cycles, reduced agility, increased security and regulatory risks, weakened test coverage, and significant barriers to automation and AI adoption.
Doing nothing is no longer an option. In this guide, we explore why modern, proactive TDM is critical for enterprise success. We also demonstrate how our Enterprise Test Data® Platform removes the constraints of legacy test data approaches and unlocks faster delivery, scalable testing, and AI-powered innovation.
Agile development, CI/CD pipelines, automated testing, and cloud-native architectures all rely on fast, consistent access to high-quality test data. The rise of AI and machine learning only heightens this need, making representative, synthetic, and compliant test data essential for innovation.
At the same time, the complexity of modern data ecosystems has exploded. Test data is no longer just a developer concern, it’s a critical resource for data scientists, business analysts, platform teams, and decision-makers across the enterprise.
This evolution has transformed test data into a shared, strategic asset. But legacy tools and manual processes weren’t built for this scale, or this speed. Deciding to ‘do nothing’ in the face of these challenges isn’t neutral, it’s actively harmful. It means slower delivery, missed automation opportunities, poor data access, and an inability to support modern architectures or AI initiatives.
Test data has shifted from a technical concern to a strategic business imperative. Without a modern TDM solution, organisations will face these six key challenges:
“Nearly half of teams say they can’t manage the size and complexity of their test data”
Manual test data processes can’t keep up with the pace of modern software development. As applications evolve, testers spend valuable time finding, creating, or waiting for data, slowing pipelines, reducing coverage, and increasing the risk of failed tests.
To keep pace with Continuous Integration and Continuous Delivery, organisations must move beyond traditional test data management, automating the discovery and creation of data using AI to deliver it instantly and at scale.
“Just 39% of testers believe their coverage is complete”
Effective testing depends on high-variety data, covering edge cases, outliers, and negative scenarios. Yet production data, even when masked, rarely delivers the diversity needed for in-sprint testing. Without synthetic, fit-for-purpose data, teams risk faulty releases, costly defects, and slower cycles.
Prioritising synthetic test data generation not only boosts coverage, it also tackles many broader TDM bottlenecks across compliance, scalability, and automation.
“45% of organisations admit they don’t always comply with test data privacy and compliance standards”
Neglecting data privacy laws isn’t just risky, it’s expensive. Using raw or poorly anonymised production data can expose organisations to regulatory breaches like GDPR, CCPA and the AI Act, risking financial and reputational damage. EU GDPR penalties alone can exceed €20 million.
To avoid these risks, and unlock safe, scalable innovation, teams must eliminate the need for production data through the use synthetic and properly masked data that’s compliant by design.
Modern enterprise architectures span legacy systems, cloud platforms, APIs, and databases, creating tangled webs that are difficult to support. Manually aligning test data across these environments slows teams down, creates bottlenecks, and increases the risk of broken tests.
To scale effectively, organisations need containerised, on-demand test data environments that mirror complex systems and deliver integrated, compliant data fast. Combined with automation for masking, generation and subsetting, this approach enables agile teams to test at speed without compromising quality.
As enterprises adopt hybrid architectures, aligning test data across fragmented systems becomes a major challenge. With data spread across APIs, SaaS, cloud, and mainframes, many teams spend up to 44% of their time simply waiting for, finding, or creating test data. Manual provisioning leads to outdated or inconsistent data, stalling testing, development and undermining quality.
To keep pace, organisations need extensible test data platforms that automate provisioning, support modern formats like JSON and XML, and generate compliant data on demand, enabling fast, parallel testing.
AI initiatives demand clean, compliant, and well-integrated data, but fragmented, manual test data processes often stand in the way. Without robust TDM strategies, enterprises struggle to scale AI, delaying model training, insight generation, and ROI. As LLMs and AI co-pilots reshape how teams interact with data, test data management must evolve to support real-time generation, governance, and accessibility across complex systems.
Automated platforms that unify data, ensure compliance with regulations, and empower teams with intuitive, AI-driven tools are key to unlocking the full value of AI.
At Curiosity Software, we’re redefining test data management. Our AI-powered Enterprise Test Data® Platform enables organisations to fully harness the power of their data, navigate complex environments, and meet regulatory demands at scale.
Enterprise Test Data® automatically maps data assets, uncovers cross-system relationships, and flags sensitive information, giving you the insights needed to drive smarter provisioning, compliance, and coverage. With support for over 250 technologies, including legacy databases, APIs, SaaS, XML, JSON, and more, our platform connects seamlessly across hybrid environments. Its extensible architecture ensures future-proof support for evolving systems, turning fragmented data into unified, actionable insights.
Automatically discover, classify, and anonymise sensitive data to ensure it’s protected before provisioning to less-secure environments. Enterprise Test Data® enables organisations to deliver rich, compliant test data on demand, synthesising realistic, non-sensitive datasets that retain essential relationships for accurate testing and training. By masking PII and commercially sensitive information while preserving data integrity, teams can move faster without compromising security, reducing the risk of breaches.
Curiosity's platform unifies all essential test data utilities, generation, masking, cloning, subsetting, virtualisation, orchestration, and sandboxing, into one integrated platform built for speed, reusability, and scale. Designed for dynamic, parallel delivery, it eliminates manual effort and delays by making high-quality, compliant data instantly available across teams and environments. Supporting AI training, test automation, and efficient delivery across even the most complex application landscapes.
Enterprise Test Data® harnesses the power of AI to transform how organisations understand, generate, and deliver test data. Virtual AI agents interrogate your application landscape, analyse data requirements, and generate complete, compliant datasets on demand, all from simple natural language prompts. This intelligent automation eliminates wait times, reduces manual effort, and turns test data into a catalyst for innovation, smarter decisions, accelerated delivery, and AI-ready data pipelines.
As test data management evolves, AI, visual modelling, and natural language interfaces will be key to unlocking enterprise-wide data accessibility and value. Curiosity’s Enterprise Test Data® platform is built for this future, delivering the automation, intelligence, and flexibility needed to meet the test data demands of tomorrow.
Over 250 integrations
Metadata management
Data cataloguing
Automated discovery
Contextual tagging
Sensitive field recognition
Data profiling
Visual modelling
Full RPA Support
Data provisioning
Synthetic data generation
Data masking
Data virtualisation
Data cloning
Data quality insights
Policy enforcement
Dynamic alerts
Trend analysis
Proactive governance
Automated remediation
Data traceability
Curiosity’s Enterprise Test Data® capabilities are specifically designed for this new era, ensuring that data is always available, compliant, and of the highest quality.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
Build a complete picture of your application landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.
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Curiosity’s 3-step approach to test data management allows you to gain a deep understanding of your...
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Explore our range of over 250 integrations and connections supported by Curiosity's Enterprise Test...
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