There’s an important distinction between the performance of a business ‘relative to its market’ and the performance of that market itself. I recall a time in a challenging industry when I felt pretty good about delivering -6% growth because the wider industry was at -10%. We’d over-delivered the wider market and taken share from our competitors. Of course, regardless of the thrill of winning share, -6% will kill you in the end. Conversely, I found myself analysing a business the other day which is delivering +2% growth, but in a market which is growing at more than 10%. That business will be fine, I guess, but represents a missed opportunity too. There is one of those consultancy 2 x 2 matrices in here, isn’t there? If you are under-performing in a bad market, you are certainly in trouble. If you are over-performing but also in a bad market, you might feel like you are doing all you can but the structural trend in the market can still undo you. Can you redefine your market? If you are under-performing a strong market, shareholders might be happy for a while but in the end strong competitors will come for you. Over-performing a strong market – beers are on you!
Category: Uncategorised
Does technology always help?
Machine Learning
Finally finished (and passed!) the Machine Learning course from Stanford on Coursera. Being plural makes it easier to find time to invest in personal development of that kind. Even as someone who has been on the client end of data science for a long time, there was plenty to learn from the course and nerding out doing the programming assignments was great fun. A technical course like that isn’t for everyone, but I can’t help thinking that there needs to be some kind of ‘what business leaders need to know about machine learning’ introduction – too many decisions about data and data science are being made right now by boardrooms full of people who don’t really understand what’s being discussed. It wouldn’t be acceptable for a senior leader to confess that he or she couldn’t do maths or read. I suspect in a very few years it will be equally unacceptable to confess that you don’t understand data science or digital technology. There’s a great training opportunity for someone there, I think. Does anyone offer that already?