Synthetic Data & Augmented Sample

“Synthetic data” isn’t magic; it’s modeling. It’s trained on “real” data, and the solutions it provides are as real as the problems you have when so-called “real” data isn’t available. When incidence is tiny, budgets are tight, timelines are microscopic, or privacy rules block access, would you rather skip the study, under-power it, raid another budget, or rely on the loudest opinion? Or would you rather employ a model you can validate, explain, and discuss?

You might already address business challenges via models such as multiple imputation, hierarchical Bayes partial pooling, small area estimation/MRP, agent-based simulation, and bootstrap resampling. Today’s AI powered models can surface more complex latent patterns and, with LLMs, support natural language interrogation. 

The benefits include: 
•    New, non duplicative synthetic respondents to lift power in low incidence cells
•    Privacy preserving synthetic datasets to analyze when PII access is restricted
•    Virtual personas/digital twins for rapid qual exploration

None of this requires a leap of faith—just familiar checks: A/B holdouts, equivalence on priority KPIs, bias/drift monitoring, and clear disclosure.

When harsh reality beasts down your door, don’t settle for noisy or inadequate sample, sacrifice other research for the sake of one project, delay decisions, or rely on some pushy person’s under-informed gut feel. Instead, explore what synthetic data can do and prove it to your satisfaction.

See for yourself where synthetic augmentation can reduce time-to-insight or improve representation, when it’s better as a parallel benchmark than a replacement, and how to judge for yourself how well a synthetic solution will perform in reality. 

Who should attend?
•    Insights & Research leaders building a methods roadmap 
•    Analytics & Data Science teams needing privacy-safe tabular data without PII exposure 
•    Panel/Sample & Ops managers looking to augment hard to reach B2B or under represented audiences
•    Product, CX, and UX teams wanting to accelerate concept iterations with virtual respondents