Hi ,
The Three Musketeers is one of the most beloved stories of all time. Yet, few people realise it isn't a stand-alone book, but the first in a trilogy - the other books being Twenty Years After and The Vicomte de Bragelonne: Ten Years Later (although, the latter is so long,
it has traditionally been published as three volumes - The Vicomte de Bragelonne, Louise de la Valliere and The Man in the Iron Mask).
Together, these books extend for 433 chapters or around 1.5 million words.
What makes the Musketeers books so
interesting, though, is that author Alexandre Dumas didn't wait until he'd finished writing each novel to share it with the world.
These books were serialised and shared with the world at a rate of around three chapters per week. This provided Dumas with continuous feedback on what was and wasn't working and gave him the data necessary to shape these books into some of the
greatest works of literature the world had ever seen.
Here's the thing...
The same approach can be applied to data science.
Rather than waiting until you've finished a project, to share it with your stakeholders, deliver smaller chunks to them daily (or regularly) - this will give you constant feedback and allow you to adjust your work accordingly.
This technique is known as Elephant Carpaccio and is one technique for making data science teams insanely profitable that I discussed
with Douglas Squirrel in a recent episode of Value Driven Data Science.
You can listen to the entire episode at the link below: Episode 40: Making Data Science Teams Profitable
Talk again soon,
Dr Genevieve Hayes.
