Synthetic Data 101: Synthetic data vs. real/dummy data
Synthetic data vs. real data
While real-world data is collected by real systems (such as medical tests, banking transactions, or web server logs), synthetic data is generated using machine learning algorithms.
There are several key differences between real-world and synthetic data. Real data is typically limited in size, difficult to access, and may not reflect the full range of possible values or behaviors, making it difficult to manage and analyze. In contrast, synthetic data is much more flexible, easily accessed, and generated in large quantities with greater accuracy to meet specific requirements.
Additionally, synthetic data is privacy compliant as opposed to real data, as it does not contain any personally identifiable information and can’t be easily reverse-engineered to extract sensitive information.
Overall, synthetic data is a powerful tool for organizations that need access to high-quality datasets but either lacks the resources or need to keep their data private.
Synthetic data vs. dummy data
Dummy data isn’t exactly dumb — quite the opposite. It’s mock, fake data that acts as a placeholder for live data in development and testing. Its primary purpose is to help developers understand the functionality, logic, and flow of a system or program before the real data is available.
Synthetic and dummy data are both used during development to simulate live datasets, but they differ in several ways. Synthetic data is generated with machine learning algorithms based on real-world datasets, while developers typically create dummy data manually. Additionally, synthetic data is much more complex than dummy data and is often used to generate realistic datasets with missing or corrupted values.
Whether you are just starting to explore the benefits of synthetic data or looking for ways to improve your current use of this technology, our experts are there to help. Visit now https://syntheticus.ai/resource-hub and download our newest Whitepaper.
About Syntheticus
Founded in 2021 and headquartered Switzerland, Syntheticus is committed to delivering cutting-edge technologies and solutions that address data-sharing challenges.
With a team of experts and collaborations with leading Swiss academic institutions, Syntheticus is at the forefront of innovation and research in Privacy-Enhancing Technologies.
Our privacy-preserving synthetic data solutions help unlock your data’s potential and give you the freedom to use and share it with confidence.
