Category: Data Science

  • Confusion In Attribution

    Attribution is one of the most important topics in marketing. How does one give credit for a sale to the medium that caused it? Did the TV ad generate the sales, or the online advert, or even a sales clerk in a physical store? There is much confusion in attribution. Last Touch Attribution Last touch…

  • Predicting What Image Works For An Individual

    One of the central challenges of marketing is that people differ. Marketers would love to create marketing communications that work for everyone. While some communications do pretty well nothing has universal appeal. Some images work fantastically for some people but turn others off. How can we predict who will like what? What helps us in…

  • The Growth Rate Of Modern Science

    How has modern science progressed? This is a tough question to answer for the last few generations. It is even harder if you have aspirations to go back a lot further. Lutz Bornmann and Rudiger Mutz certainly don’t lack for ambition. They look at the growth of science since the 17th Century. The growth rate…

  • Surviving In The Misinformation Age

    David Helfand has written a book designed to illuminate thinking that will help spot problems in the public discourse. He gives a guide to surviving in the misinformation age. Big Issues Around Scientific Understanding He is aiming for a popular book, but not too much. He doesn’t dumb it down. At times I felt he…

  • Stereotyping And Market Entry Strategy

    I have a paper just published in Customer Needs and Solutions on stereotyping and market entry strategy. This paper has quite a history, with early versions arising from my dissertation (13 years ago). It was quite a journey. The final paper looks nothing like where it started. (For example, it contains a minor nod to…

  • The Data Gender Gap

    Caroline Criado Perez’s book focuses on the challenges facing women in a world where the primary gatherers of data have been/usually still are men. It highlights the problem of data heavy systems not being as fair as the idea of impartial ‘math’ might imply. (See also here). The problem of what Perez calls the data…

  • Leadership In Politics

    Real-world examples often provide concepts that apply in business. I worked in politics for many years and I think that there are lessons for educational and commercial leadership. Good political leaders try and seize temporary opportunities. Their dramatic actions make for exciting highs when successful and dramatic lows when not. So what can we learn…

  • A Positive View Of The World Using Facts

    I thought Han Rosling’s book (written with his son and daughter in law) ‘Factfulness‘ was wonderful. It was engagingly written but the real joy was the author’s ability to explain the world using data rather than hunches and pre-conceptions. It may come as a great surprise to many that Rosling’s take on the world is…

  • The Influence Of Marketing On Managers

    The history of business, especially marketing, thought is an interesting topic to me. Modern text analytics techniques can help us get a better understanding of what has happened. If I understand correctly historians seem to be increasing using such techniques. What then can this tell use about the influence of marketing on managers? Changing Topics…

  • A Defense Of Enlightenment Thinking

    Steven Pinker’s Enlightenment Now is a wonderful book. Pinker’s work is precisely the sort of thing that we need more of. I.e. writing from knowledgeable people able to see the big picture. The big picture in Enlightenment Now is about the biggest picture one can have. It is a defense of enlightenment thinking. The Enlightenment:…

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