发帖
雷达卡
Rosa Arboretti
University of Padova, Italy
Description
There is a common approach to the method of developing them and identifying the solution for consumers. The process of innovation is similar: starting from the consumer understanding, identifying the insights that are most relevant, and then proceeding to develop an idea. A solution can solve a problem initially at the conceptual level, then moving across to an actual prototype, and then finally to new product development (NPD). No matter the segment, the appropriate use of data presents a value‐adding opportunity to NPD.
There is a great focus in the industry around using big data derived from multiple sources, which are easily accessible via the internet. Today, information derived from many global applications is increasingly measuring different aspects of our lives. However, the focus is now to gain business value from such data. Surprisingly, the use of data for product development in most cases is not robustly established; a clear connection between the experts in statistics/data analytics and the product developers within the main FMCG companies needs to be established.
The focus is to develop better products for consumers by investing the right features and to support faster developments to ultimately limit the number of experiments. So, the scope of this book is to demonstrate how actual statistics, data analytics and design of experiment (DoE) can be widely used to gain vital advantages with respect to speed of execution and lean formulation capacity. The intention is to start from feasibility screening, formulation, and packaging development, sensory tests, etc. introducing relevant techniques for data ana-lytics and guidelines for data interpretation. Process development and product validation can also be optimized through data understanding, analysis and validation.
End-to-end Data Analytics for Product Development_ A Practical Guide .pdf
(14.92 MB, 需要: RMB 19 元)
京公网安备 11010802022788号
