I recently heard the phrase attributed to nascent data teams. Think of the pluripotent stem cell for example. Many a data project begins with a small nimble team with an undifferentiated skill set. Angela Bassa, Director of Data Science at iRobot, shares that one of the earliest paths to "value" is by answering easy data queries with an architecture that takes care of itself.
Over time, a data team evolves and grows the ability to mature into anything. This leads to the specialization and differentiation of mature data teams. This sounds tremendously like how data projects evolve in the wild. When the journey is new, you may find yourself dabbling in a bit of the data engineering and data architecture bits regardless of focused expertise in formulating data questions.
The truth of the matter is, everyone has data. Data scientists worth their salt have the skill of formulating a data question and selecting the right statistical and visualization tools to formulate a solution. We strive for replicability, interpretability, and fit for purpose.
Perhaps you have heard of the 2 pizza rule.
"It's simple. The more people you pack into the meeting, the less productive the meeting will likely be. The solution?
Never have a meeting where two pizzas couldn't feed the entire group."--Business Insider
How many pizzas do you think it would take to feed those folks?
Listen to a recent post about managing data science teams--this post is a bit of a summary--the episode is worth your ears...