I must admit it’s not the coffee, but the data, that got me interested in Starbucks. As a non coffee drinker I actually never made a purchase at Starbucks in my whole life, but lots of people obviously do: The global coffee chain operates over 30,000 locations worldwide in more than 70 countries and in 2019 achieved a revenue of $26.5 billion. One key success factor is the effective use of data science by Starbucks, which a blogger recently described as not a coffee business, but a data tech company.
Data Scientist has become somewhat of a buzzword. The hype probably started in 2012, when the Harvard Business Review called Data Scientist the ‘Sexiest Job of the 21st Century’. And the demand hasn’t declined since then: According to a recent survey by Analytics Insight, ‘by 2021, there will be 3,037,809 new job openings in data science, worldwide’. So it’s maybe not that surprising that (almost) anyone wants to become a data scientist these days.
But while everybody seems to talk about data scientists, and companies gladly use the term in their job ads and press releases in order to profit…
Outdoor, Van-Life and Data Science Enthusiast. Media Intelligence Expert at Kantar. Open-Minded Lifelong Learner.