The Johnson Matthey Data Science App Store as a Model for Industrial Digital Transformation

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Authors: Aakash Varambhia, Tom Ellaby, Z. Najeeb, Doğan Özkaya
Cited by: 0
References: 16

Abstract

Industrial research and development (R&D) of advanced materials, particularly catalysts for sustainable technologies, is fundamentally hindered by a data analysis bottleneck. State-of-the-art characterisation instruments generate vast and complex datasets, the processing of which has become a significant impediment to the pace of innovation. This paper introduces the Johnson Matthey Data Science App Store, a strategic digital platform developed to overcome this challenge. The platform is a centralised, web-based suite of data science applications designed to democratise advanced analytics through intuitive, user-friendly graphical interfaces. The usefulness of the approach in generating value is illustrated with examples in three-dimensional (3D) device and micron level characterisation, particle size analysis and high-precision strain analysis.

Fields of Study & Subjects

Scientific Computing and Data Management Digital Transformation in Industry Machine Learning in Materials Science

Publication details

Journal / source
Johnson Matthey Technology Review
Volume
70
Issue
4
Publication date
16 February 2026
Language
EN