What is it about?
This is a special issue on Data Science in Business and Industry for the journal Applied Stochastic Models in Business and Industry, the official journal of the International Society for Business and Industrial Statistics.
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Why is it important?
Statistical learning and stochastic modelling are the engines of data science. The models and methods help businesses leverage data to make better decisions and use resources more efficiently. Information and communications technologies have forever changed business planning and have led to the development of new industries. Companies use data science to manage supply chains, support dynamic pricing, optimize delivery, and control robotic manufacture. Data science also opens the door to greener industries with less pollution and more fuel efficiency.
Perspectives
This special issue collected high-quality contributions on a wide range of theoretical and applied topics in data science for business and industry. The call for papers attempted to reach a wide audience and included a special call to professors and researchers who presented an abstract at the International Conference on Data Science ICDS2023, held from November 8 to 10, 2023, at the Universidad Diego Portales in Chile. We selected 11 papers through a rigorous peer-review process from a total of 27 articles submitted for consideration.
Dr. David Fernando Muñoz
Instituto Tecnologico Autonomo de Mexico
Read the Original
This page is a summary of: Foreword to the Special Issue on Data Science in Business and Industry, Applied Stochastic Models in Business and Industry, May 2025, Wiley,
DOI: 10.1002/asmb.70019.
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