Applying an analytics framework : An organizational case study
Wahlström, Henrik (2020)
Wahlström, Henrik
Åbo Akademi
2020
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020051838223
https://urn.fi/URN:NBN:fi-fe2020051838223
Tiivistelmä
Analytics provides decision makers a data driven approach towards businesses operations, frequently outperforming traditional business practices. Data scientists are the persons creating these analytics solutions and requires a holistic knowledge about the business and operational data. The practical task of the data scientist is to transform the data to correct format, enabling for visualization or algorithmic calculations. Thus, the processing of data in sequential, iterative order is described as data wrangling.
This thesis provides insight into a case study of analytics projects performed in a business organization. A literature review was conducted to find existing frameworks and methods and provided directions of the research towards improving data wrangling, with the CRISP-DM framework and supporting creations of IT artefacts. Action research methodology was utilized to generate quick improvements with both quantitative and qualitative methods. During the research period of four years and completion of six analytics projects, an all-round improvement in analytics capabilities was achieved.
Based on literature review and empirical research new concrete ways of working were introduced allowing for more efficient business operations and project management. Analytics knowledge development strategies are presented that can be adapted into the existing knowledge management program. The findings also function as knowledge mobilization, drawing attention to the issue of data wrangling within the case organization.
This thesis provides insight into a case study of analytics projects performed in a business organization. A literature review was conducted to find existing frameworks and methods and provided directions of the research towards improving data wrangling, with the CRISP-DM framework and supporting creations of IT artefacts. Action research methodology was utilized to generate quick improvements with both quantitative and qualitative methods. During the research period of four years and completion of six analytics projects, an all-round improvement in analytics capabilities was achieved.
Based on literature review and empirical research new concrete ways of working were introduced allowing for more efficient business operations and project management. Analytics knowledge development strategies are presented that can be adapted into the existing knowledge management program. The findings also function as knowledge mobilization, drawing attention to the issue of data wrangling within the case organization.
Kokoelmat
- 512 Liiketaloustiede [431]