Human vs Synthetic Data
FEB 2024
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Human and synthetic data both play crucial roles in research and decision-making.
Human data is collected from real-world observations or events, providing a solid foundation for analysis. However, it can be costly and time-consuming to collect, and there are often privacy concerns associated with its use.
On the other hand, synthetic data is artificially generated and can fill gaps where human data might be lacking. It can mimic the complexity and characteristics of real-world data without the need for complex data collection. However, it's important to ensure the synthetic data accurately represents the real-world scenario you're studying.
For a detailed comparison of human and synthetic data, including use-cases and a how-to guide, 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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