Business Intelligence within Large Companies - Challenges and Maturity
(2014) MTT820 20132Engineering Logistics
- Abstract
- Purpose: The purpose of the thesis is to create a Business Intelligence maturity model based on eight examined operational BI propositions. Furthermore it is to explore the recognition level
and business impact of these propositions.
Methodology: The work process consisted of an initial explorative phase where a theoretical framework was created based on literature research. Founding on that the maturity model was developed, and then further tested in a survey. The survey also examined the recognition level of the propositions. To explore the business impact of the propositions three in depth interviews were held.
Conclusion: The main conclusions in the project are that the eight examined propositions are common challenges among... (More) - Purpose: The purpose of the thesis is to create a Business Intelligence maturity model based on eight examined operational BI propositions. Furthermore it is to explore the recognition level
and business impact of these propositions.
Methodology: The work process consisted of an initial explorative phase where a theoretical framework was created based on literature research. Founding on that the maturity model was developed, and then further tested in a survey. The survey also examined the recognition level of the propositions. To explore the business impact of the propositions three in depth interviews were held.
Conclusion: The main conclusions in the project are that the eight examined propositions are common challenges among large Scandinavian companies. The developed maturity model covers these challenges and can be used by organizations to see where they are at in their maturity curve and what the next step in the maturity process is. The higher the BI maturity is, the less recognized the propositions are. The recognition level of propositions and the BI maturity impact the business success, and the BI maturity among large Scandinavian companies is somewhat moderate. Other conclusions are that a well functioning BI environment is essential for any large organization since it enables the achieving of strategic goals such as efficient and effective processes. However, efficientBI-processes and a functioning IT landscape can be difficult to establish, especially for large companies. There are extensive amounts of data to
process, the implementation costs are high, and the needed change management resources are often overlooked. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/4463173
- author
- Öberg, Sofia LU and Sikander, Emma LU
- supervisor
-
- Dag Näslund LU
- organization
- course
- MTT820 20132
- year
- 2014
- type
- M1 - University Diploma
- subject
- keywords
- Business Intelligence, Maturity Model, Operational Challenges, Business Impact, Value Creation
- report number
- 5757
- language
- English
- id
- 4463173
- date added to LUP
- 2014-08-25 13:13:46
- date last changed
- 2014-08-25 13:13:46
@misc{4463173, abstract = {{Purpose: The purpose of the thesis is to create a Business Intelligence maturity model based on eight examined operational BI propositions. Furthermore it is to explore the recognition level and business impact of these propositions. Methodology: The work process consisted of an initial explorative phase where a theoretical framework was created based on literature research. Founding on that the maturity model was developed, and then further tested in a survey. The survey also examined the recognition level of the propositions. To explore the business impact of the propositions three in depth interviews were held. Conclusion: The main conclusions in the project are that the eight examined propositions are common challenges among large Scandinavian companies. The developed maturity model covers these challenges and can be used by organizations to see where they are at in their maturity curve and what the next step in the maturity process is. The higher the BI maturity is, the less recognized the propositions are. The recognition level of propositions and the BI maturity impact the business success, and the BI maturity among large Scandinavian companies is somewhat moderate. Other conclusions are that a well functioning BI environment is essential for any large organization since it enables the achieving of strategic goals such as efficient and effective processes. However, efficientBI-processes and a functioning IT landscape can be difficult to establish, especially for large companies. There are extensive amounts of data to process, the implementation costs are high, and the needed change management resources are often overlooked.}}, author = {{Öberg, Sofia and Sikander, Emma}}, language = {{eng}}, note = {{Student Paper}}, title = {{Business Intelligence within Large Companies - Challenges and Maturity}}, year = {{2014}}, }