The interdisciplinary approach of the series “Business Analytics” synergises the
scientific disciplines of Ecommerce, business informatics, economics and mathematics. Based on the latest scientific methods, models and algorithms, the series
integrates two juxtapositioned fields of research: scientific methodology and practically derived data in the discipline of strategic and operative business oriented
questions. Within these disciplines, the series presents results of current research
questions about data- and future-oriented themes as strategies, analytics and prediction. The findings of this series are highly relevant to all scientific fields in
this area of research, academic institutions and companies that have an awareness
of how data can drive business outcomes but want to better leverage data as a
corporate asset for competitive advantage.
More information about this series at http://www.springer.com/series/15363
scientific disciplines of Ecommerce, business informatics, economics and mathematics. Based on the latest scientific methods, models and algorithms, the series
integrates two juxtapositioned fields of research: scientific methodology and practically derived data in the discipline of strategic and operative business oriented
questions. Within these disciplines, the series presents results of current research
questions about data- and future-oriented themes as strategies, analytics and prediction. The findings of this series are highly relevant to all scientific fields in
this area of research, academic institutions and companies that have an awareness
of how data can drive business outcomes but want to better leverage data as a
corporate asset for competitive advantage.
More information about this series at http://www.springer.com/series/15363