University of Twente Student Theses
Alignment of structured and unstructured data for decision support
Bey, S.A. (2014) Alignment of structured and unstructured data for decision support.
|
PDF
1MB |
| Abstract: | Since the rising concept of social media, companies try to make use of the information that is provided by these networks. The difficulty of such data lies within their unstructured nature. In order to overcome these boundaries and discover the structure behind such data, managers implement a structuring process that involves other structured data from a company itself, e.g. sales numbers. Managers have bounded rationality, which affects their decision model and ultimately the structuring process. The paper proposes a method that includes an approach to cover the structuring process and enhance the level of relevant structured information. Aside taking into account internal factors and statistical relevance, sentiment analysis plays an important part. The alignment of both data types involves the decrease of redundancies and errors among the process. Additionally, two online tools will in combination with a case prove the feasibility of the method. The case includes information from social media and sentiment estimates on investment moods. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | International Business Administration BSc (50952) |
| Link to this item: | https://purl.utwente.nl/essays/65294 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page