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Data-driven IT : tackling IT challenges with data management in a financial institution

Hendrikse, B. (2019) Data-driven IT : tackling IT challenges with data management in a financial institution.

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Abstract:Information Technology (IT) plays a major role in keeping up in the financial world, reliable data is needed in order to do so. However, it is not always possible to use the available data, and it may not be trustworthy enough for the intended purpose, as it is subject to quality and accessibility issues. It is still largely unexplored what the potential of Data Management would be to tackle such challenges in the IT organisation of a large financial institution in Northwestern Europe. In this study we identify the value of data for IT, we identify challenges with data, we discuss how Data Management could tackle these challenges and we explain how an existing Data Management framework could be adapted such that it is suited for IT. In our case study with 16 expert interviews we explain that two main challenges arise: Unclear relations between IT landscape components, and quality issues with data. The first challenge can be tackled with a common data model within IT, while the second needs a typical Data Management approach to provide clear accountability, data source administration, distribution and data quality management. We propose three IT supporting capabilities as focus areas, in addition to the use of an existing Data Management Framework. These capabilities focus on: eliminating the need for key Data Management processes with the use of automatic generation of data; raising understanding of manual data creation by showcasing of the usage of data; and tracking the added value of data and data management.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 85 business administration, organizational science
Programme:Business Information Technology MSc (60025)
Link to this item:http://purl.utwente.nl/essays/79345
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