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Jointly hosted by the MRS Advanced Data Analytics (ADA) Network and RSS Social Statistics Group.

Synthetic data is everywhere right now. But beyond the hype, what does it actually deliver in practice, and where are the real risks, limitations and opportunities?

Join us and RSS for an in-depth, evidence-led afternoon exploring how synthetic data is being used across market research today, and what that means for insight professionals, analysts and decision-makers.

Why attend?

This event moves beyond theory to focus on real-world application, testing and learnings, bringing together experts who are actively working with synthetic data across different use cases.

You will gain:

  • Practical insights into where synthetic data adds value and where it falls short
  • A clearer understanding of LLMs versus traditional statistical methods in data imputation
  • Real case study evidence on performance, reliability and limitations
  • Guidance on ethical considerations, accuracy and responsible use
  • A forward-looking view of how synthetic data is reshaping insight functions and decision-making
Event agenda

14:00 Opening from the Chair 
Tricia Dodd, Independent Research and Statistics consultant and RSS Officer

Can LLMs beat established statistical methods at imputing missing data?
James Pitcher, GfK
Exploring how large language models compare to traditional imputation techniques, using real human responses as a benchmark to assess data quality and efficiency. 

Synthetic Data Debate: Confidence Starts with the Seed
Simon Harris, MMR Research Worldwide
A critical look at how synthetic data is generated, highlighting how outcomes depend heavily on the quality and representativeness of the original sample, and the risks of false confidence.

Break

Synthetic Data, One Year On
Hasdeep Sethi and Tabita Razaila, Strat7
Revisiting a large-scale benchmark study to assess how synthetic data has evolved, exploring accuracy, stability and suitability for common research tasks. 

Synthetic Data in Practice: Where It Helps, Where It Hurts, and How to Use It Responsibly
Chris Moore and David Priestly, Ipsos
An evidence-led session examining practical applications, including boosting datasets, improving subgroup analysis and applying guardrails for responsible use. 

Break

The Customer is Now Always in the Room, Now What?
Leanne Tomasevic and James Tyrrell, Electric Twin and Virgin 
A real-world case study exploring how synthetic audiences are transforming decision-making, increasing access to insight and reshaping the role of insight teams. 

Panel discussion and close

17:00 – 18:00 Networking drinks sponsored by Ipsos 

 Ipsos Logo

Who should attend?

This event is designed for:

  • Insight professionals and researchers
  • Data scientists and analysts
  • Innovation, product and marketing teams
  • Anyone exploring or already using synthetic data in research
What you’ll take away

By the end of the session, you will have a clearer, more balanced understanding of:

  • When synthetic data can strengthen research outcomes
  • When it can introduce risk or bias
  • How to apply it responsibly and with confidence
  • What the future of human and machine collaboration in insight looks like
Join the conversation

Synthetic data is evolving quickly, and so is the debate around it. This event provides a space to challenge assumptions, share real experiences and build a more grounded understanding of its role in modern research.

Book your place

Secure your spot and be part of the conversation shaping the future of insight.

 

Venue
ames leads NIQ’s Global Marketing Science Brand Practice. He designs and develops sophisticated, innovative solutions to measure brand performance.

He has spent more than 15 years providing statistical advice and consultancy within the Market Research industry, working with clients across many different sectors and regions.

James is an expert in brand research, conjoint analysis, pricing, consumer segmentation, and a wide range of multivariate techniques, regularly presenting at international conferences.

20 years expertise testing and optimizing products for the worlds biggest FMCG brands. Now working as a Global Innovation Director at MMR Research Worldwide, specializing in product testing methodologies. Simon has the luxury of working day in and out with a large team of researchers and clients around the globe, listening to their challenges and finding solutions with the ultimate aim of helping MMR's clients create better product experiences.


Hasdeep is Group AI Lead at STRAT7, helping to lead the company's AI Innovation Lab and offer development around STRAT7 Nucleus. As part of the Lab, he has worked on several synthetic data research pilots and given several presentations in the past year - including at the MRS B2B Conference and GRBN - and is an expert in the field.

Head Of Operations with a demonstrated history of working in the research industry. Skilled in Online Research, Market Research, Management, Teamwork, and Data Processing. Strong program and project management professional with a BA in Marketing focused in Marketing Research from West University, Faculty of Economics and Business Administration.

Chris Moore is Head of Data Science Transversal at Ipsos, working with a community of more than 200 analysts, statisticians, data scientists and engineers. He has over 25 years’ experience in market research analytics, with expertise spanning segmentation, choice modelling, pricing, regression, imputation, data fusion, machine learning and automation. Chris is a regular speaker at industry events including Sawtooth Software, the Royal Statistical Society, MRS ADAN, MRS AI Conference, NewMR and Quirks.
Chris works closely with the global Synthetic team at Ipsos, who are responsible for developing best-in-class models for analysing synthetic data and ensuring robust governance is adhered to when generating synthetic data.


David Priestley is the Head of Product for Synthetic Data at Ipsos. With a background in mathematics and synthetic data theory, he has been developing synthetic data models since 2016. In his current role, he oversees the research and product unit dedicated to synthetic applications in market research. This includes leading a collaborative research initiative with Stanford University as part of an academic partnership. David also draws on experience in science communication to translate theoretical mathematical frameworks into applied tools for the research industry.

Leanne has spent her career helping organisations turn insight into decisions that matter. At Electric Twin, she focuses on how synthetic audience capabilities can extend what insight teams deliver, without replacing the human judgement at the centre of good research. Leanne previously ran Truth Consulting and was Head of Insights at Tracksuit.

James Tyrrell is a senior brand, marketing and insight professional with extensive experience across senior roles at Barclays and Virgin. At Virgin, he has led the integration of Synthetic Audiences into the organisation, exploring how to further modernise how insight is generated and applied to strategic decision-making.




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