What is a synthetic sample: a guide and how-to
FEB 2024
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A synthetic sample is a set of data that is artificially generated to mimic real-world data. It's created using advanced algorithms or simulations and is designed to reflect the complexity and characteristics of real-world data.
Synthetic samples are particularly useful in situations where real-world data is difficult to collect or when privacy concerns limit the use of real data.
Creating a synthetic sample involves defining your parameters, verifying your inputs, generating your data, and finally, verifying your outputs.
Each step is crucial to ensure the synthetic sample accurately represents the real-world scenario you're studying.
For a comprehensive guide on creating synthetic samples, read our guide here.
Try MindPort for better insights, faster ⬇︎
MindPort empowers researchers, data teams, and agencies to effortlessly generate synthetic data with unmatched efficiency. Whether you want us to run an end-to-end research project, or just generate the data for your in-house team, we use our proprietary data-driven platform to scope, synthesise, collect, analyze and share data with your team.
Using GPT can only get you so far. Inside MindPort, our data team can organize your projects, scope your requirements, generate a synthetic sample and track individual synthetic participants. We're able to generate validated data in a fully bespoke workflow. This means your teams get the data and insights they need, in one centralized location.
Take your insights and analytics a step further with MindPort's synthetic data and insights:
Even before generating synthetic data, we can tailor over 180 unique categories of variable, totalling over 700 individual parameters per participant, based on your data requirements.
We can scale up from one to one thousand participants, enabling us to generate entirely unique three-dimensional personas that reflect the complexities, nuances, and fidelity of your real-world data.
We take this further by using 3rd party verification and our review framework to benchmark generated data against input data, carefully checking for biases, errors, and miscategorisations.
We're then able to package your synthesized data and insights within a team workspace, incorporating quotes for a visually compelling presentation.
Notably transforms your data analysis process, making synthetic data synthesis a seamless and insightful journey from start to finish.
Interested? Contact us and we'll send you a synthetic sample for free.
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