Ultimately companies end up focusing on two things:
1. Making money
2. Saving money
These are universal across industries and concerns. So how does Data Science help these ends?
In this episode we dive into two real Retail use-cases where Data Science helped make money and save money.
Shownotes:
Greenplum Database: http://pivotal.io/big-data/pivotal-greenplum-database
MadLib: http://madlib.net
Bayesian Hierarchical Modelling: https://en.wikipedia.org/wiki/Bayesian_hierarchical_modeling
k-means clustering: https://en.wikipedia.org/wiki/K-means_clustering