Blog

Category: Market Research

  • Creating Stories With Data Visualizations

    Cole Nussbaumer Knaflic has a useful book — Storytelling with Data. This contains lots of good advice on Creating Stories With Data Visualizations and generally improving data visualization. She tries to ensure the reader does not lazily follow the first thing a software (e.g., Excel) recommends. This is important, she gives many examples in the…

  • Comparing Canadian And US Consumers

    Comparing consumers in different countries can be challenging. I must confess to having doubts about a lot of cross-cultural research, see here for lots of grouchy comments on cross cultural measurement. I worry it is what nice middle class people do when they want to stereotype while still seeing themselves as free of prejudice. Suffice…

  • What Caused The Classic Polling Disaster?

    In presidential election polling 1936 stands out as a uniquely bad disaster. What caused the classic polling pisaster? 1936, The Worst Ever Polling Disaster? In 1936 The Literary Digest made a prediction that Republican Alf Landon would beat the incumbent Democratic president Franklin Delano Roosevelt in a landslide. This rates as arguably the biggest disaster…

  • Mathematical Thinking, Cons, And Finding Results

    Jordan Ellenberg tells us how to use mathematical thinking to “not be wrong”. He tells us about mathematical thinking, cons, and finding results. Good Advice The advice is often very good. If he wants to call it as a result of mathematics that works for me. Following his advice will help us have better judgment.…

  • Conducting Business Tests

    We should be conducting business tests to have more confidence we are doing the right thing. Small And Big Decisions In business decisions are often taken “without having any real evidence to back them up” (Davenport, 2009, page 69). This is a source of great frustration to me, (and many academics). To be fair sometimes there…

  • Simpson’s Paradox: Data can be very confusing

    One of the strangest things in statistics is Simpson’s paradox. The paradox happens when two sets of data each show the same result. Yet, when you combine the data into a single data set the combined table gives you a different result. Data Can Be Confusing Smith explains this using a click data example. In the data, he shows when you look at…

  • Predictive Analytics And Vast Search

    Eric Siegel has an excellent book on predictive analytics and vast search. As his title suggests these involve lying, buying and dying as well as a few things that don’t rhyme. Applying Analytics The center of his book is a table of applications of predictive analytics. The marketing examples (Table 2) give a number of interesting…

  • Lying With Statistics

    While statistics can help us understand the world there is plenty of opportunity to abuse them to mislead. Darrell Huff wrote a short book that was first published in 1952 on lying with statistics. Some of the text shows its age (lots of male pronouns and references to gentleman) but many of the lessons remain applicable today. Reading Huff’s…

  • Uncovering The Message In The Mess Of Big Data

    This week I’m focusing on research that I’ve co-authored with Xin Wang in Business Horizons. We called this ‘Uncovering the Message in the Mess of Big Data’. Our article aims to explain to managers how they can work out what the messages are in large amounts of data. What Data Should You Look At? The classic application…

  • Explaining Omitted Variable Bias

    Charles Whelan’s Naked Statistics is an enjoyable and informative read. He does a very good job of simplifying statistics. He explains what statistical methods can do but also the problems that people get into using statistics.  Here I’ll focus on him explaining Omitted Variable Bias. Whelan tackles this problem very clearly. Explaining Omitted Variable Bias Omitted variable bias sounds like…

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