Throughout their careers, Mark Garratt and Steve Cohen have pioneered a number of methods in use today by most marketing research firms, including Choice-Based Conjoint, Latent Class CBCA, Computerized Designs for Choice Tasks, and Maximum Difference Scaling. We continue to develop new tools and techniques by combining real-world, practical experience with the best of academia.
The vision for in4mation insights has always been to develop pioneering solutions and predictive tools that transform business decision making — using a rigorous commitment to inquiry, innovation, integrity, and impact.
In advanced analytics, we are world-class experts in using multi-level hierarchical Bayesian models to analyze both simple and complex datasets. These tools have many features that make them more attractive and which deliver deeper insights than standard statistical methods or even computationally demanding machine learning approaches.
Our Board of Science Advisors informs us of the newest developments in research and assists us in bringing these from the classroom to the boardroom.
By building our own analytic software, based on multi-level, hierarchical Bayesian statistical methods, we can scale our analyses to provide deep inferences about individual and aggregate behaviors, and, at the same time, deliver very good predictions of future events or the implications of policy and spending changes.
We are proud of our inventiveness, our diverse and experienced staff, and our on-shore operations. With our authentic collaborative culture, we challenge each other to make the whole far greater than the sum of its parts.