Most data scientists spend 80% of their time finding, cleaning, and organizing data, and only 20% on data analysis. As the world becomes a more digital place, there is an ever-growing data pool where we can draw information. Now you have an ocean of data, but does that data provide enough value? You can’t trust the outputs of messy data lakes. Without clean enough data, your big data science is pointless. It’s time to break the 80/20 rule.
