Synthetic Dataset Generation
KerusCloud can be used to generate highly realistic synthetic datasets for use in a wide variety of analytics applications in the life sciences sector and beyond. Synthetic datasets provide a realistic alternative, describing the characteristics of subject-level data without revealing protected information. This allows them to be shared and used freely without raising privacy concerns.
Common questions which can be answered using synthetic data include:
KerusCloud SDG can be used to support many applications including:
- Market research and business intelligence
- Testing and validating software products and systems
- Building and testing algorithms
- Predictive modelling, machine learning and AI