Data like oil has been referred to as the new gold, and gaining value from it is not new, but the volume and timeliness of data has multiplied to allow new and valuable insights across many fields of activity and knowledge.
In sport and politics data mining and analytics have revolutionised strategies and tactics with performance achievements and outcomes that could not be achieved now systematically improved. Whether, professional football, basketball, baseball, the Tour de France, rugby, poker or F1, the focus on data is now essential to compete at the top level.
The UK Leave Europe campaign or Trump’s rise in the US are examples of where the use of data and analytics changed the landscape. It is perhaps surprising that business has been relatively slow to embrace it, those that have are now the titans. Google, Amazon, Facebook and global retailers like Walmart.
Three lessons and a virtuous circle arise from sport and politics.
The noble prize-winning economist Daniel Kahneman tells us humans are wired to take emotional decisions, and when faced with data that contradicts what they ‘know’ or have previously understood to be a ‘truth’ they experience confirmation bias and interpret or grade data to reflect an established view or expectation.
So, lesson one, recognise your bias.
To maximise the value of data you need to jettison your bias, not easy because you need to first acknowledge you have one, and then what it may be. Perhaps a better approach would be to constantly remind oneself of this aspect of human psychology and be open to the seemingly contradictory.
Lesson two, focus data collection based on knowledge.
Alistair Campbell in his book ‘Winners’ notes stars of data to value are Matthew Benham – gambler, Billy Beane – Baseball coach, Warren Buffet – Investor and business titan, Dave Brailsford – Elite cycling. Campbell found what they all have in common is a base of knowledge in each of their areas of operation or teams that include it. In each case it is the ability to ask the right questions that was driving the data collection and analytics.
Lesson three, go beyond statistics.
The third lesson is to recognise that the use of data must go beyond the creation of statistics. A statistic could be 99% of shoppers in a store chose product A over any other. Analytics might reveal that it was positioned at the prime end of an aisle and covered a two-week discount period. Combining analysts with other bodies of knowledge creates a virtuous circle.
Using a base of knowledge to structure the focus of data capture, going beyond statistics and challenging person bias creates the constant improvement in the value of data. A virtuous circle.