Bücher von Dave Roberts

Motor Sport:"He captures the true spirit of a nation's grass roots""A refreshing antidote to bland paeans about the overly familiar""He makes adversity sound vaguely appealing"Total Kit Car:"an enthralling read""Buy this book if you are into the underdog and tales of derring-do""I found it gripped me. I picked it up for a five minute 'flick through' and I couldn't put it down""Get it, read, enjoy what is a great tale about proper club motorsport"Lowflying:"I fell for Dave Roberts' prose before I'd even finished page three""It is very hard to put down""I recommend this book very highly to anyone who enjoys club motor sport"Dave Roberts started circuit racing at the age of 50, feeling like a bumbling overweight bee amid a swarm of angry hornets. Although he began to learn, haphazardly, how to become slightly more credible as a racer, even overtaking another car now and then, the pursuit of prizes was never at the top of the list of priorities. In fact, just arriving at the track with a working race car was often a cause for celebration.Dave is no Hamilton or Verstappen, a state of affairs for which he gives thanks. Some people believe winning is everything; some think of motorsport as being just some cars going round and round making a noise. In between we find this defiantly unprofessional memoir, which speaks most of all about the humour and fun of it all.

This book guides the reader from the building blocks of revenue management, to pricing science and merchandising, and to broader issues of setting objectives in support of a revenue strategy.The discipline is evolving, and that evolution has been accelerated by the COVID-19 pandemic. Leaders in hotel revenue management, and more broadly in sales & marketing, need to understand these changes, and lead and adapt accordingly. This will require a strong foundation in analytics-not just modeling, but also business analytics in support of a holistic strategy.As more of the tactics of revenue management are executed through automation, and powered by machine learning, revenue managers will become more focused on strategy and will need to think about revenue management in the context of marketing, loyalty, and distribution. As the strategy component of the discipline increases, so too must the breadth of knowledge of revenue managers.