What is it for?
New and Better Insights through New Methods and Data Sources
While the Ipsos Science Centre is a world class innovation group, our goal is not innovation for innovation's sake, but to provide new and better insights for decision makers and action. Knowing what can, and can’t, be done with data types and how to extract insights from it with traditional and the latest advances in research methods provides robust information from which decision makers can confidently develop tactical and strategic plans.
How it works
Executing World Class and Innovative Analytics - The Ipsos Science Centre includes a Global Modeling Unit that is an incubator for executing Data Science solutions developed by their R&D team focusing on predictive analytics for new and complex challenges.
Experts in Traditional Statistical Analysis and Data Science methods:
Machine Learning, Data Mining & Pattern Recognition - The Ipsos Science Centre developed a Best in Class predictive analytic Enhanced Bayes Net framework that has been presented at conferences with over 3,000 models delivered to clients globally in 2015.
Computational Modeling and Simulation - The Ipsos Science Centre has successfully delivered major Micro-simulation and Agent Based Models in the automotive, tech, and Healthcare sectors.
Expansion in New Data Domains: Behavioral, Passive and Big Data Analysis - The Ipsos Science Centre successfully leverages databases whose size and complexity (including unstructured data sources) cannot be tapped with traditional methods including those with multiple billions of records.
[WEBINAR] Seeing Through New Eyes
When it comes to understanding people today, surface level discussions often fail to uncover the real truth. So when we set out to reveal the reality of middle class American families, we went deep — sending in experts from Ipsos’ Ethnography Center of Excellence (ECE) to immerse themselves with families, and tapping into the Ipsos Behavioral Science Center to interpret findings.