State of Synthetic Data: Governance + the ECHO Index

Synthetic data is gaining momentum across the insights industry, but many researches and business leaders are still seeking clarity around viable applications and overall trust.

In this webinar, we will review the ECHO Index, a rigorous and transparent evaluation framework designed to quantify synthetic data performance and help research leaders assess quality, reliability, and fit for use. This session will move beyond high-level discussion and into what structured evaluation is revealing about synthetic data in the industry.

The discussion will cover:

• What synthetic data means in the context of market research
• How the ECHO Index compares synthetic outputs to human response data
• Where synthetic data shows promise and where it still falls short
• What early findings suggest about governance, validation, and responsible adoption
• Practical next steps for organizations evaluating synthetic data in their own research programs
• Together, these findings offer an early look at the broader state of synthetic data today, including where it is delivering, where it still needs scrutiny, and what organizations should consider as they build more confident, responsible approaches to adoption.

This webinar is designed for research, insights, analytics, marketing, data science, and innovation leaders who are exploring synthetic data or AI-enabled research methods and want a clearer, evidence-based way to separate potential from performance.

Ben Cortese leads KS&R’s AI strategy, development, and applications. He brings over a decade of experience in advanced quantitative methodologies and directs a team of data scientists who apply AI, predictive analytics, and novel techniques across pricing, feature prioritization, and insights activation.

From early enterprise AI rollouts to evaluation of synthetic data, Ben focuses on rigorous research design, reproducible evaluation, and operationalizing AI so organizations can translate insights into measurable business outcomes.