Synthetic Test Data Automation

ConnectIQ, can synthesize data from scratch or by looking at your existing datasets and uses AI to build data models and automatically create synthetic data for missing data combinations, for data virtualization or excess scenarios on demand at a fraction of the time and cost.

As a result, the synthetic test data set have the same power as the real data but none of the privacy concerns that impose user restrictions, and can also help resolve infrastructure, storage and system constraints.

You can synthesize data to test the complete Temenos software stack (Temenos Transact, Infinity, Temenos Payment Hub, Wealth, Islamic etc) and it is compatible with Temenos Banking Cloud 2.1 and older versions.

The use of synthetic data in Temenos testing allows to deliver quality test data faster which can be shared across internal and outsourced testing teams and enables:

Create a Synthetic Digital Twin

With ConnectIQ you can create the Synthetic Digital Twin of your data model, while maintaining the characteristics, relationships and statistical patterns of the original data for maximum data quality and coverage. This means you get high quality test data with preserved business logic and referential integrity.

Central Test Data Lakehouse

The test data are centrally stored in the Lakehouse, from which testers can view, search, manage and select data for their test cases. Automating the provisioning of test data from the Test Data Lakehouse with DevOps accelerates both testing and development cycles in an Agile development environment.

Sharing Data Securely

You can now easily share data to downstream environments across the organization. Data can be shared and reused across different models and pipelines. It can be shared with outsourced data testers or uploaded for application testing in the cloud, as safely and easily as when used on-premise. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.

Faster data access - Self Service Portal

Get instant access to the data you need through the self-service portal so you can start generating value from it. Leveraging synthetic data helps to overcome privacy and security challenges that often make it difficult and time-consuming to get and use data. Test engineers now don’t have to wait for full environment refreshes to start their testing.

Scalability

Access exactly the data you need and, on the scale, you need, to develop and test new applications. Endless amounts of data can be created

Eliminate the Risk of Data Leakage

Synthetic Test Data are completely new data that cannot be reverse-engineered back to the original, meaning that production data remain secure and not shared to non-production environments, eliminating the risk of data breaches.

Increased data quality and coverage

With synthetic test data, you can control how the resulting data is structured, formatted and labeled. That means a ready-to-use source of high-quality, dependable data is just a few clicks away. Synthetic Test Data includes future scenarios that have never occurred before, as well as “bad data,” outliers and unexpected results, generating extreme data cases and ‘bad path’ scenarios for maximum coverage.

Reuse your Datasets

Generated data is reusable does not become redundant with new releases. It can be virtualised, subsetted and cloned to multiple environments, and can be used to run multiple parallel tests to improve testing agility and reduce infrastructure costs.

Accelerate testing and development

Synthetic test data shortens the testing and development cycles by several days every sprint, improving the overall release cycle and saving significant costs.