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Author's profile photo Kurt Holst

Guide: SAP Predictive Analysis – how to perform an association analysis using data from the Titanic accident.

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.

Best regards,

Kurt Holst


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.

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      Author's profile photo Bernhard Escherich
      Bernhard Escherich

      Hi Kurt,

      exzellent example and spot on illustration of the power of predictive analytics. Thanks for sharing it.

      Best regards,


      Author's profile photo Yasemin ULUTURK
      Yasemin ULUTURK

      Very inspiring. Besides the fact of the lessons learnt (I won't travel 3rd class, lucky of being female 😉 ) it gives an insight on how to use association rules. It is nice to see association rules being used except purchase behavior analysis.