Everyone talks about 'big data' like some magical panacea but when the chips are down who really has it in them to come to the party; and who gets left behind?
Having bootstrapped a data science team within a large traditional market research organisation, I've faced many challenges while setting up an effective data science function. Most of the challenges are around mindset. Traditional corporates just don't think like agile startups (no surprises there!). But, given this mindset difference, how does one go about embedding a business unit that no one had even heard of five years ago? How does one begin changing a decades-old paradigm of how business is conducted? And, how does one do this without stepping on the toes of all the established, siloed business functions that instead need to be brought along for the ride; all while assuring them that they will only increase their business relevance and impact in the process rather than make themselves redundant?