University of Twente Student Theses


Applying data science to improve municipal youth care

Smit, Floris (2017) Applying data science to improve municipal youth care.

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Abstract:Data science has transformed many businesses and organisations. Government organisations see the benefits of applying data science but do not have the required experience to reap the benefits. The aim of this research is to find out which challenges municipalities face when applying data science. In this research, a data science project in a municipality has been studied in a case study. Five stakeholders from different positions within the organisation have been interviewed to provide insights in the challenges of applying data science from multiple perspectives. The interview design is based on a systematic literature review and a preliminary study of data science in practice. Based on the results of this case study, one can conclude that data science puts high demands on the data and the stakeholders involved. These demands could be translated to analytical maturity and data management maturity. Organisations starting with data science should check their analytical and data management maturity levels. A minimum level of data management maturity is needed before a data science project can be successful. Higher data management maturity provides data for data scientists to use in their experiments. Higher analytics maturity prepares the organisation for data science by introducing basic data-driven decisionmaking.
Item Type:Essay (Master)
Xomnia, Amsterdam, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 85 business administration, organizational science
Programme:Business Information Technology MSc (60025)
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