SAP’s Predictive Analysis allows users to leverage many types of algorithms and visualizations. One of the interesting algorithms is Apriori also known as association analysis or basket analysis.
In this video I will demonstrate how to use the Apriori algorithms on data from the Titanic accident.
The business question: Watch this video if you would like some arguments to use with your boss for travelling 2nd or 1 first class.
As shown in this video there is just a few steps needed to perform this very powerful data mining analysis with SAP Predictive Analysis:
Lessons learned from the Apriori rules generated:
* Don’t travel 3rd class if you want to survive.
* Don’t be part of the crew if you want to survive.
* Certainly don’t be a male if you want to survive.
So to answer the business question. If you want a higher chance to survive travelling: travel 1 first class & be female.
With this step-by-step approach you will be able to enhance SAP Predictive Analysis with even further statistical algorithms and charts / visualizations.
Pre-requisites – installed software:
SAP Predictive Analysis version 1.0.11
R 2.15 with the necessary libraries with r algorithms.
R Titanic dataset is pre-installed with R.