This hands-on guide explains how to use “Data Manager” to enrich your data semantically with additional attributes to produce stronger predictive models.
Based around transactional data from a Bank, you identify customers likely to sign up for a credit card in the following quarter. In a number of iterations you enhance the dataset and improve the model gradually.
Please note that this guide is giving a high-level introductory overview and only shows a small fraction of the available functionality.
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- Data (for SAP HANA)
- Data (for SQL Server) Time stamps have been updated in this SQL Server data. Please use 2016-08-05 as reference when prompted in Data Manager.
1. February 2016: Added .mdf file for SQL Server as alternative data source for the tutorial.