Assessment of Big Data Tools Organisations Can Deploy To Optimise Business Intelligence Strategy (2019)
Business Intelligence Strategy Dissertation – The dissertation focused on analyzing the big data tools that organizations can use in optimizing business intelligence. In the analysis, the researcher limited the scope to five big data tools that included SAP BI, Power BI, Hadoop, Oracle BI, and Tableau. The researcher used an exploratory research in which primary and secondary data were analyzed. In the primary research, 35 data analysts were involved as the respondents.
The researcher thus used questionnaire to collect the data from the respondents and analyzed it using descriptive statistics in form of tables and charts. In the data analysis, the researcher found that Power BI was the most popular big data tool among the respondents. The findings also showed that Power BI and SAP BI were most popular among the small-sized business organizations that have a workforce of 1-20 employees. In the same light, Hadoop, Oracle BI and Tableau seemed more popular for the medium-sized and large business organizations with employee’s size of 21-500.
The respondents also stated that they consider functionality and reliability as the key aspects in choosing a big data tool. Analysis of the information also showed that respondents supported training as a best practice for supporting business intelligence. The research also documented the best practices that organizations can utilize in ensuring effectiveness of their business intelligence strategies.
- 10,000 words – 40 pages in length
- Excellent use of literature
- Good analysis of subject area
- Well written throughout
- Includes survey questions
- Ideal for IT students
1 – Introduction
Statement of the problem
Problem statement
Research questions
Rationale
Definitions
Hypothesis
2 – Literature Review
Overview of Subject
Overview of Big Data
Business Intelligence optimization
Big Data Tools
Critical review of referenced work
Conclusion
3 – Methodology
Research Design
Participants
Instrumentation
Procedure
Data Processing and Analysis
Summary
Results
4 – Discussion
Insights from the Data
Functionalities of the big data tools
Power Business Intelligence
SAP Business Intelligence
Hadoop Open-source
Tableau
Oracle BI
Best practices in using big data tools for optimizing business intelligence
5 – Conclusion
References
Appendix