Latest data science publications
Organisations now recognise that a wide range of individuals have the right thinking processes to work in data science. As well as people from computer science and analytic backgrounds such as statistics and engineering, this includes people with backgrounds in physics, chemistry, and biology. Big tech firms have also found that liberal arts graduates are also proving highly successful in data science roles.
In this exclusive Q&A, Geoff Willis, Director of Digital Engineering Transformation for Mercedes-AMG Petronas Motorsport, explains how Mercedes is using data science and visualisation to stay ahead of the pack
“Making good business decisions is a critical part of every executive’s job and is vital to every company’s well-being.” So says McKinsey and Co, in an article on the importance of decision-making. It’s undeniable that being able to take action rapidly is the difference between success and failure in today’s markets – consider how many once-leading businesses have atrophied as their ability to make the right decisions has diminished.
Yet knowing what to do is hard, doubly so when you consider the amount of information we are all assailed with on a day-to-day basis. How can anyone make definitive decisions when faced with so many choices, so much data?
To transform Bacardi into something sellable in upmarket Cuban taverns, founder Facundo Bacardí Masso had to “tame” the sugary spirit by filtering it through charcoal and ageing it in white oaked barrels. Fast forward to the age of data, and Bacardi has returned to its origins, taming and refining its data supplies to enable better decision making across the company.