Utilizing data integration models in data integrations
Karlin, Kalle (2019)
2019
Tietojohtaminen
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2019-06-23
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201905211685
https://urn.fi/URN:NBN:fi:tty-201905211685
Tiivistelmä
Data integration is a process that enables communication between different systems. Many data integration project fails due to not understanding the business objectives and technical requirements. Data integration modeling strives to explain what functionalities are expected from a technical solution for desired results to support business processes.
The objective of this thesis was to identify practical solutions of leveraging data integration models in data integration solutions. This research was carried out as a deductive case study in a company that provides data integration solutions to its customers using the case company’s integration platforms.
Research results show that successful data integration solution requires understanding both the business as well as the technology. The modeling process starts by identifying business processes and business objectives. After the scope and goals are clear, technology is added to support the business. Technical knowledge is needed to understand what the boundaries are of creating a solution. Data integration modeling can be used to ensure that business goals are identified correctly and to give guidelines for the developers to implement a solution with required functionalities.
The objective of this thesis was to identify practical solutions of leveraging data integration models in data integration solutions. This research was carried out as a deductive case study in a company that provides data integration solutions to its customers using the case company’s integration platforms.
Research results show that successful data integration solution requires understanding both the business as well as the technology. The modeling process starts by identifying business processes and business objectives. After the scope and goals are clear, technology is added to support the business. Technical knowledge is needed to understand what the boundaries are of creating a solution. Data integration modeling can be used to ensure that business goals are identified correctly and to give guidelines for the developers to implement a solution with required functionalities.