UID:
kobvindex_INT0004848
Format:
iv, 37 pages :
,
illustrations ;
,
30 x 21 cm.
Content:
MACHINE-GENERATED SUMMARY NOTE:
"In order to respond to the rapid changes in the business environment due to the rapid globalisation and technology development, organisations are asked to analyse and evaluate an elevated amount of information from multiple sources. In applying correct managerial decisions, suitable and efficient data gathering systems need to be integrated into the Decision-Making process within the organisational context. The concept of Business Intelligence aims to satisfy this necessity and support managers by improving the quality and understandability of information, which is then transformed into organisational knowledge.
This paper focuses on the importance of Business Intelligence solutions for the managerial decisions and how modern decisions require an accurate information gathering support. An overview on the Decision-Making process will be provided, followed by a description of what is intended for 'Business Intelligence'. Successively, the different aspects of the Business Intelligence tool’s composition and operations will be then analysed, along with its beneficial functionalities for data management and organisational performance.
Other related data analytical concepts, such as Big Data, Competitive Intelligence and Artificial Intelligence are also included into the study. Moreover, a case study on BMW will report how BI softwares and Data Analysis systems are integrated within different departmental levels for a multinational automaker.
Finally, the findings on the German automaker will show the application of a BI software by BMW dealers for data storage and reporting activities, the role of data analytics and AI systems into modern manufacturing facilities, the project of an autonomous driving system and the creation of a new datacenter."
Note:
DISSERTATION NOTE: submitted as bachelor thesis in Business Administration, Berlin International University of Applied Sciences, 2020.
,
MACHINE-GENERATED CONTENTS NOTE:
i. Abstract ................................................................................................................ i
ii. Table of Contents............................................................................................... ii
iii. List of Abbreviations ....................................................................................... iii
iv. List of Figures .................................................................................................. iv
1. Introduction ....................................................................................................... 1
1.1 General Introduction .............................................................................. 1
1.2 Main Problem Statement ....................................................................... 1
1.3 Research Purpose ................................................................................... 2
1.4 Research Questions ............................................................................... 2
2. Literature Review .............................................................................................. 3
2.1 Decision-Making Process ...................................................................... 3
2.2 Business Intelligence ............................................................................. 6
2.2.1 Characteristics of Business Intelligence ................................. 8
2.2.2 Structure of Business Intelligence Tools ................................ 9
2.2.3 Organisational Benefits of Business Intelligence ................. 11
2.3 Competitive Intelligence...................................................................... 13
2.4 Big Data ............................................................................................... 14
2.5 Artificial Intelligence and Machine Learning ..................................... 14
3. Methodology ..................................................................................................... 15
3.1 Research strategy ................................................................................. 15
3.2 Limitations ........................................................................................... 16
4. Results - BMW case study............................................................................... 17
4.1 BMW: the company............................................................................. 17
4.2 BMW dealers and BI tools: “TimeXender” ........................................ 18
4.3 AI manufacturing processes, Smart Data analytics and IBM .............. 20
4.4 Autonomous driving ............................................................................ 22
4.5 BMW database .................................................................................... 22
5. Discussion ........................................................................................................ 23
5.1 Business Intelligence and Decision-Making process .......................... 24
5.2 How BMW benefits from BI, Big Data and AI implementation......... 25
5.3 Research limitations and recommendations ........................................ 28
6. Conclusion ........................................................................................................ 29
7. References......................................................................................................... 30
Appendix .............................................................................................................. 36
Declaration Page .................................................................................................. 37
Language:
English
Keywords:
Academic theses
;
Academic theses
