Andreas W. Neumann holds a doctorate in economics, a diploma in technomathematics and an MSc in mathematics and statistics. He works as a management consultant for major enterprises in the field of digital transformation and data analytics across industries, with a focus on financial services. Andreas is the author of the book ‘Recommender Systems for Information Providers: Designing Customer Centric Paths to Information’. He lives in Zurich, Switzerland.
Publications
Part 4
Being smarter with statistics has always been a business advantage. Historically, it came under many different labels. First, with operations research, econometrics and business intelligence (BI), it was all about making better decisions. Then, in the upcoming e-commerce domain, it was primarily about cost and enabling transactions. Successful Internet companies adapted this to the full extent to create business value. With data mining, a differentiation potential appeared around customer convenience, such as providing relevant recommendations (‘If you bought this, then you may also like this’). With (language-independent) behavioural data, the results of analytics could be brought to a whole new level.
