Inside the Briefcase

How Security in Tech is Being Reinforced

How Security in Tech is Being Reinforced

In an increasingly digital world, security has become a...

2022 Business Spend Management Benchmark Report

2022 Business Spend Management Benchmark Report

Read the 2022 Coupa Benchmark Report to explore 20...

Cloud Security: Understanding “Shared Responsibility” … and Keeping Up Best Security Practices

Cloud Security: Understanding “Shared Responsibility” … and Keeping Up Best Security Practices

Cloud computing has been around for many years now,...

Webcast: HOW TO SCALE A DATA LITERACY PROGRAM AT YOUR ORGANIZATION

Webcast: HOW TO SCALE A DATA LITERACY PROGRAM AT YOUR ORGANIZATION

Join data & analytics leaders from Starbucks, Cardinal Health,...

How EverQuote Democratized Data Through Self-Service Analytics

How EverQuote Democratized Data Through Self-Service Analytics

During our recent webinar on scaling self-service analytics, AtScale...

Diapers and Beer – The beginnings of data science in retail

July 17, 2012 No Comments

When asked for white papers or case studies on how predictive analytics works, I often give a few stories on how different industries use analytics to find patterns in their data and then applied that knowledge to their existing data to predict what future trends are going to happen.  I get asked quite a bit about a legends that roam the retail world:  the study that found that milk is the most purchased item so it is always in the back of the store, making you walk by everything thing else they have before you get there, the fact that women’s shoes are always are the way to mens clothes, and the fact that bananas are at the front of stores because they are found to be an impulse buy.  The one that seems to be the oldest: men who buy diapers for their kids are most likely to have beer in their carts.

Read Full Post

DATA and ANALYTICS 

Leave a Reply

(required)

(required)


ADVERTISEMENT

Gartner