Impact of data quality on business intelligence: strategies for data cleaning and preparation
Ostergllava, Yllka (A.A. 2024/2025) Impact of data quality on business intelligence: strategies for data cleaning and preparation. Tesi di Laurea in Databases & big data, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 45. [Bachelor's Degree Thesis]
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Abstract/Index
Understanding data quality and its importance in business intelligence. Introduction to data quality. Data quality and business intelligence. Challenges and current practices in data cleaning. Overview of data cleaning challenges. Review of current data cleaning practices. Developing effective data cleaning strategies for business intelligence. Identifying needs and goals. Proposing new data cleaning strategies. Implementation considerations. Evaluating the impact of enhanced data cleaning on business outcomes. Methodology for impact evaluation.
References
Bibliografia: pp. 42-45.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Databases & big data |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 19 Nov 2025 14:58 |
| Last Modified: | 19 Nov 2025 14:58 |
| URI: | https://tesi.luiss.it/id/eprint/43938 |
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