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Deutsche Bahn AG is a German railway company. Headquartered in Berlin, it is a private joint-stock company, with the Federal Republic of Germany being its single shareholder. People call Deutsche Bahn AG with DB.

From this year (2018) DB started more Data Science Project. I work for HR Analytics in DB Headquarter in Berlin under supervision of HR Manager of Deutsche Bahn AG. When working with data science project, it is always important to follow a well-defined data science workflow. There are more than one life cycle that we know, but we focusing on data mining method the CRISP-DM model (CRoss Industry Standard Process for Data Mining).

For theme Business Understanding I got some Seminar,Lectures , and Business Process System from Deusche Bahn AG. Not only the concept but also the tools and a lot of workshops. Below are Summary from A-Z about HR analytics keywords, method, and tools.

Note: This summary isn’t the real situation in Deutsche Bahn AG (data protection information rule)

#1. BIG DATA:
In this term, people analytics makes the company situation better that have positive feedback for the company self.
#2. WORKFORCE ANALYTICS:
Data Science to optimize human resource management (HRM).
#3. HR ISSUES:
-Turnover modeling
-Recruitment advertising measurement
-Targeted retention
-Risk Management
-Talent Forecasting
#4. TOOLS & METHODS
-Python
-R
-Anaconda
-Tableau
-Power BI
-Alteryx
-Artificial Intelligence
-Applied AI=Machine learning
-Staff Rostering method
#5. HR KPI (Key Performance Indicators)
Click here: HR KPI Example
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