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Making or Saving Money with Big Data


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

Visit http://pivotal.io/podcasts for show notes and other episodes. Subscribe to the feed:http://pivotalsoftwarepodcast.libsyn.com/rss Feedback: podcast@pivotal.io

 


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 June 24, 2015  12m