Synthetic Data Boosting

Market research is increasingly turning to synthetic data to solve their analytical challenges when traditional methods of data collection fall short, particularly when the sample sizes are limited or unevenly distributed. Enter synthetic data boosting, a cutting-edge approach gaining traction among companies worldwide, including Ipsos.

In our latest paper, we delve into how synthetic data is transforming market research by overcoming the limitations of confined sample sizes. By artificially enhancing datasets, businesses can capture deeper insights that were previously unimaginable. 

Discover:

• How Ipsos boosts and prepares data: Learn the scientific approach to creating and evaluating synthetic data with rigorous models like tabular diffusion, favored for their consistency over traditional methods.
• The groundbreaking 'SURE' framework: Dive into the 'SURE' principles – Statistical Similarity, Utility & Fairness, Rarity & Novelty, Expert Validation – that establish synthetic data as a trustworthy source.
• The value of enhanced data: Understand the power of synthetically boosted data in extending insights without amplifying noise, turning potential pitfalls into pathways for innovation.

Done properly, data boosting can extend insight beyond the limits of raw sample size. Done carelessly, it risks amplifying noise instead of knowledge.

As we navigate this innovative data terrain, Ipsos offers a clear roadmap with step-by-step approaches for maximizing the potential of synthetic data. Discover pioneering techniques that can help transform your market analysis approach.

Download the full paper to gain an in-depth understanding and access practical guidelines to leverage synthetic data boosting.