Curiosity Modeller

Design Complex Systems, Create Visual Models, Collaborate on Requirements, Eradicate Bugs and Deliver Quality! 

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    Enterprise Test Data

    Stream Complete and Compliant Test Data On-Demand, Removing Bottlenecks and Boosting Coverage!

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      Our innovative solutions help you deliver quality software earlier, and at less cost!

        robot-excited copy-1              AI Accelerated Quality              Scalable AI accelerated test creation for improved quality and faster software delivery.

        palette copy-1                      Test Case Design                Generate the smallest set of test cases needed to test complex systems.

        database-arrow-right copy-3          Data Subsetting & Cloning      Extract the smallest data sets needed for referential integrity and coverage.

          cloud-cog copy                  API Test Automation              Make complex API testing simple, using a visual approach to generate rigorous API tests.

          plus-box-multiple copy-1         Synthetic Data Generation         Generate complete and compliant synthetic data on-demand for every scenario.

          file-find copy-1                                     Data Allocation                  Automatically find and make data for every possible test, testing continuously and in parallel.

            sitemap copy-1                Requirements Modelling          Model complex systems and requirements as complete flowcharts in-sprint.

            lock copy-1                                 Data Masking                            Identify and mask sensitive information across databases and files.

            database-sync copy-2                   Legacy TDM Replacement        Move to a modern test data solution with cutting-edge capabilities.

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              See how we empower customer success, watch our latest webinars, read our newest eBooks and more.

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                      Better Software, Faster Delivery!

                      Curiosity are your partners when designing, building and building complex systems in short sprints!

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                            bookmark-check copy                            Success Stories                          Learn how our customers found success with Curiosity's Modeller and Enterprise Test Data.

                            book-open-page-variant copy                                                  Blog                                                Discover software quality trends and thought leadership brought to you by the Curiosity team.

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                              Explore Curiosity's Resources

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                              Creating Quality Since 1995

                              Curiosity are your partners when designing, building and rigorously testing complex systems in short sprints!

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                              Data Validation in 2 Minutes

                              Uncover and “test” relationships in your data, while defining valid and invalid data combinations. Data validation from Test Data Automation provides the deep system understanding needed to test and develop at speed, while avoiding the catastrophic bugs caused when bad data combinations make it to production.

                              Speak with an expert

                               

                              Poorly understood systems and “bad” data cause critical bugs

                              Too many bugs and bottlenecks arise from a lack of understanding regarding complex systems and the data that fuels them. Without robust documentation, developers trawl through code and cast ad hoc SQL queries. They cannot map complex relationships, nor understand which data will be updated by their changes. Developers instead create redundant tables and bloated designs, while bugs mount due to unforeseen effects of system change. Invalid data further makes it to production, causing more bugs. Testing cannot find the defects early enough, as they lack deep understanding of valid and invalid combinations, while generating test data is impossible without understanding the data model. Testers and developers today need greater understanding of complex data, and "good" and "bad" data to test with.

                              Read The Brochure

                               

                              Understand your data - stop invalid combinations reaching production

                              Data validation automatically analyses complex data, uncovering new relationships and defining which data combinations should and should not occur together. Developers can design optimal schemas and avoid costly production bugs, understanding which interrelated data their changes will impact. Testers can further test complex systems rigorously to avoid “bad” data in production, understanding invalid combinations and generating “covered” data for rigorous testing. Including validation in DevOps pipelines further safeguards production, blocking bad data from slipping past testing and development. Data validation provides BAs and engineers with the understanding they need to pay off technical debt and design better requirements, better code, and better tests.

                              Automated Data Validation-1

                              Understanding complex data relationships further supports legislative compliance, reducing the risk of devastating fines and brand damage. You can locate and categorise sensitive data, understanding what data is being used, and for which purposes. You can then find, copy and erase interrelated data on demand, complying with the Rights to Erasure and Data Portability. Understanding complex data models and relationships further allows you to generate accurate synthetic data for complex systems. The on demand data generation from Test Data Automation boosts test coverage and quality, while sidestepping complex compliance requirements and delivering quality systems faster.

                              Download the Solution Brief

                               

                              Automated data validation

                              Watch the two-minute overview of Data Validation from Test Data Automation, to see how:

                              1. Data validation from Test Data Automation automatically analyses complex data to identify and verify relationships, providing the understanding needed to develop at speed.

                              2. Testers and developers can design optimal database schemas, avoiding the proliferation of redundant tables and reflecting all the requisite data relationships.

                              3. Validation identifies “good” and “bad” data combinations, generating “covered” test data sets to ensure that production systems effectively handle bad data and avoid devastating bugs.

                              4. Including validation in your DevOps pipeline further safeguards production systems, stopping invalid combinations from sneaking past testing and development.

                              5. Data validation supports complex compliance requirements, allowing you to categorise interrelated data, before finding, erasing and copying sensitive data on demand.

                              6. Understanding the logical data model of your data enables synthetic test data generation, boosting coverage, sidestepping compliance requirements, and accelerating delivery.

                              7. Data validation is quick and easy to set up in Test Data Automation’s central portal, which automatically analyses data relationships and looks for erroneous data that does not fulfil them.

                              8. You can use Test Data Automation to add in new foreign key relationships to create a complete database, or can generate a report to share with your DBAs.

                              Read The Brochure

                               

                              Speak with an expert

                              Understand your data and identify ‘bad data to avoid it in production.

                              Speak with an expert