We are practitioners first and statisticians second. What this means is that we talk your language.
The majority of statistical innovation is now being carried out in the R language where new and emerging techniques occur. We regularly review these and evaluate their effectiveness and use R, Q/DisplayR, SPSS and Sawtooth to perform analysis.
Our data services team is …
Andrew has been involved in providing data analysis since the last century, although he prefers to use the tools invented in this one. With a balance of client and agency experience he favours pragmatic solutions over the theoretical. He specializes in price optimisation, drivers analysis, MaxDiff and Conjoint. He enjoys structuring models that approximate reality and aid decision making.
Jonathan believes that data from all sources can treated as evidence to support a narrative: the skill is in knowing how to use the various types of data at our disposal in the correct way to tell a true story. A researcher for over 20 years, his enthusiasm for chasing down the story in complex data is undimmed.
Julian’s particular area of expertise is the development of consumer and business segmentation's in a variety of different markets including: banking, insurance, telecoms , utilities, media and retail. Julian has been actively involved in the industry over 20 years and has taught on the Market Research Society’s ‘Introduction to Market Research’ course for over 10 years. He holds a Masters degree in Environmental Psychology.
Michelle has always had a passion for Maths and problem solving. She’s also has a keen interest in understanding human behaviour. Her Degree and Masters in Psychology allowed her to focus on this further and use statistics to do so. Michelle enjoys delving into data to find patterns and trends that lead to greater insights and a better understanding of the market. Her specialisms are in segmentation, factor analysis and correspondence analysis.
Andrew starts with the assumption that all analysis is an extension of data preparation and understanding. Beyond simply avoiding the “garbage-in, garbage out” paradigm, modern data services must be conversant with a multitude of data sources, varying degrees of structure, and growing demand for visualization. Andrew has more than twenty years of experience as a practitioner within the insights industry, and thoroughly enjoys the search for meaning through analytics.
Victoria has enthusiasm for the whole analytic process, from defining the analytic plan, the analysis itself through to visualising insights. Analytic specialisations include customer satisfaction, advertising research, new product development and segmentation, gained over 15 years in in education, consumer and business markets.