Data Science: Influences on the Expected Outcome of Data Science
(2020) INFM10 20201Department of Informatics
- Abstract
- By using data to generate insights, Data Science has increased in popularity and has become a substantial part of many companies. However, Data Science efforts often result in failure, leading to companies not having the expected outcome of their Data Science investments. There seems to be knowledge lacking to why, therefore, this thesis aims to describe what may influence the expected outcome of Data Science with the research question: What influences companies’ expected outcome of Data Science? To conduct this research, a qualitative method was chosen where six interviewees from various industries working with Data Science were interviewed. Conclusively, there are both negative and positive influences on companies’ expected outcome of... (More)
- By using data to generate insights, Data Science has increased in popularity and has become a substantial part of many companies. However, Data Science efforts often result in failure, leading to companies not having the expected outcome of their Data Science investments. There seems to be knowledge lacking to why, therefore, this thesis aims to describe what may influence the expected outcome of Data Science with the research question: What influences companies’ expected outcome of Data Science? To conduct this research, a qualitative method was chosen where six interviewees from various industries working with Data Science were interviewed. Conclusively, there are both negative and positive influences on companies’ expected outcome of Data Science. The negative influences identified mainly concern data quality, ethics, knowledge and organizational support. The positive influences are related to creating value from data used in Data Science, the capabilities of companies to adapt, seeking help externally to solve problems and having clear goals, clear problem formulation and a clear division of responsibilities. However, since Data Science is a broad concept with many areas of application, the expected outcome of Data Science is subjective, and depends on the organizational context and maturity. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9017004
- author
- Riley, Anna Charlotta LU and Briskog, Sanna LU
- supervisor
-
- Odd Steen LU
- organization
- course
- INFM10 20201
- year
- 2020
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Data Science, Data Science Challenges, Data Science Success
- report number
- INF20-053
- language
- English
- id
- 9017004
- date added to LUP
- 2020-06-26 17:07:34
- date last changed
- 2020-06-26 17:07:34
@misc{9017004, abstract = {{By using data to generate insights, Data Science has increased in popularity and has become a substantial part of many companies. However, Data Science efforts often result in failure, leading to companies not having the expected outcome of their Data Science investments. There seems to be knowledge lacking to why, therefore, this thesis aims to describe what may influence the expected outcome of Data Science with the research question: What influences companies’ expected outcome of Data Science? To conduct this research, a qualitative method was chosen where six interviewees from various industries working with Data Science were interviewed. Conclusively, there are both negative and positive influences on companies’ expected outcome of Data Science. The negative influences identified mainly concern data quality, ethics, knowledge and organizational support. The positive influences are related to creating value from data used in Data Science, the capabilities of companies to adapt, seeking help externally to solve problems and having clear goals, clear problem formulation and a clear division of responsibilities. However, since Data Science is a broad concept with many areas of application, the expected outcome of Data Science is subjective, and depends on the organizational context and maturity.}}, author = {{Riley, Anna Charlotta and Briskog, Sanna}}, language = {{eng}}, note = {{Student Paper}}, title = {{Data Science: Influences on the Expected Outcome of Data Science}}, year = {{2020}}, }