“Ninety percent of data science is ETL [extract, transform and load] — the data wrangling aspects,” said Michael Li, founder and CEO of The Data Incubator, a data science training organization, during a presentation at TDWI Accelerate. “Focusing just on the analytics layer is not going to deliver the value and the insights you are looking for.”

It takes many different kinds to tell a story. Data science is exposing more, massively more, raw material for stories. However, automation will reduce the current workload from 90 percent on ETL (data prep and staging for analysis) toward interpreters and artists who work with data to tell stories.

Source: Data scientist skills range from data prep to storytelling