Introduction to Introduction to Sensory Data Analysis - Camo

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1. Why sensory data analysis What can sensory data analysis provide us • Describing product characteristics / Quality Control – Sensory panel of experts sensory profile – Chemical / industrial process measurements Multivariate regression analysis cheaper quality control • Understanding of the behaviour and liking of the consumers – Consumer studies preferences mapping PCA / Multivariate regression analysis Relating product characteristics to the needs of the consumers / Prediction of market response to a new product • Investigation of competitive products / new recipes PCA Positionning
1. Why sensory data analysis Can we trust the sensory panel Assessors consistently give variable results, due to differences in motivation, sensitivity, and psychological response behaviors. In a sensory lab: • assessors come and go • time for training is short, measuring and tracking each assessor’s performance is essential.
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6. Summary CAMO Products Product Op
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Introduction to Introduction to Sensory Data Analysis - Camo

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