An interactive guide to the statistical tools used to solve problems
during product and process innovation
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.
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. The book:
- Presents a guide to innovation feasibility and formulation and
process development
- Contains the statistical tools used to solve challenges faced during
product innovation and feasibility
- Offers information on stability studies which are common especially
in chemical or pharmaceutical fields
- Includes a companion website which contains videos summarizing main
concepts
Written for undergraduate students and practitioners in industry, End
to End Data Analytics for Product Development offers resources for the
planning, conducting, analyzing and interpreting of controlled tests in
order to develop effective products and processes.
