Big Data and Data Science are overused catch phrases that can mean anything anyone wants them to mean. But the hype doesn't change the facts. We are being overwhelmed with data, and I can assure you that if you don't know what to do with it, your competition will.
Millennials empirically know that bar crawling is for recreation – not for archaic, time-wasting, low-percentage mating rituals. If you want to meet someone, there are any number of big dating sites and apps available.
In a perfect world, you just hire a bunch of data scientists, have them deploy clever algorithms, and the machine will output a clear path to higher sales, better ROI and world peace. Sadly, that’s not how it works.
Data science is all the rage. Almost every CMO I know wants a data scientist for their very own – they are the status symbol du jour for senior executives everywhere. But… building the right data science team for your organization is not as easy as picking the right data scientist.
Data science allows us to combine hypothesis-based (deductive) reasoning and pattern-based (inductive) reasoning to extract actionable information from diverse data sources.