Название: End-to-end Data Analytics for Product Development
Автор: Rosa Arboretti, Mattia De Dominicis
Издательство: Wiley
Год: 2020
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

End to End Data Analytics for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analytics and the design of experiments (DoE) whilst covering the basic statistical concepts useful to an understanding of DoE. The text supports product innovation and development across a range of consumer goods and pharmaceutical organizations in order to improve the quality and speed of implementation through data analytics, statistical design and data prediction.

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 book reviews information on feasibility screening, formulation and packaging development, sensory tests, and more. The authors – noted experts in the field – explore relevant techniques for data analytics and present the guidelines for data interpretation. In addition, the book contains information on process development and product validation that can be optimized through data understanding, analysis and validation. The authors present an accessible, hands-on approach that uses MINITAB and JMP software.