Business Intelligence Dissertation Topics That Will Impress Your Teacher

Choosing a unique and trending topic for academic research enables students to succeed in their dissertation projects. Some of the issues that could be addressed through your research in business intelligence include the management of workflow, development of business ontology and policies, business automation, web intelligence, etc.

Working on the latest business intelligence dissertation topics that investigate and address industry issues will help you achieve the highest possible academic standard.

At ResearchProspect, we assist students in selecting appropriate business intelligence dissertation topics based on their interests. We have an expert panel of writers who provide full dissertation writing services regardless of how urgent or complex your requirements might be.

Check our free example dissertations and free business and business management dissertation examples to get an idea of how to structure your dissertation.

Interesting And Appealing Topics For A Dissertation On Business Intelligence

1. Implementation of a secure grouping agent with model-based organisational control
2. Business Intelligence Several Big Data analytics and their implementations
3. Knowledge management facilitates organisational learning in higher education
4. Exchange Function-Based Particle Swarm Optimisation for Materialised View Selection
5. Service-Oriented Architecture and Computational Intelligence as a Development Paradigm for Business Intelligence
6. The Impact of Business Process Performance Alignment on Business Intelligence Maturity
7. Novel Approach for Stock Trading Analysis Using Casual Relationship Mining
8. An Effective Decision-making System for an Innovative Retail Supply Chain
9. Business intelligence platform for an integrated framework that uses content-based data masking
10. Information extraction for corporate operations via data mining research
11. A data mining, prescriptive modelling, and business intelligence enterprise resource management methodology
12. The efficiency of online data storage for businesses and areas for development
13. Meeting the information needs of the business: helpful tactics and potential pitfalls
14. Utilising data discovery tools: the main benefits and drawbacks
15. Mobile business intelligence: the current situation and prospects in various nations
16. Business data management: a contrast of multiple approaches
17. Utilising consumer profiles: the main tactics used by companies to enhance market share
18. The significance of market research for new businesses
19. Using expensive analytical software: the key advantages
20. International companies use security measures to ensure the security of data and information
21. A case study of one company’s ethical considerations when sharing data in the workplace
22. The problems are caused by massive amounts of data acquired over time
23. Effective support for business intelligence innovations
24. A comparison study of the essential components of a BI portal and a web portal in general
25. Issues that businesses have with semi-structured and unstructured data
26. How small businesses use data to make informed decisions.
27. Data-driven methods to improve customer happiness and online sales growth.
28. How data helps management make better decisions.
29. How businesses use data to identify future trends.
30. How data helps organisations improve the oversight of their supply chains.
31. How cloud computing improves company data availability.
32. How hospitals use data to improve patient care.
33. What makes setting up BI systems challenging?
34. How investors and financial institutions use data to analyse markets.
35. What’s next with BI tools and systems?

Final Words

Students often find it difficult to write a flawless dissertation on a business intelligence topic due to their inadequate research and writing skills. The topic concept you choose must be engaging and useful to make your study worthwhile. Do not wait until the last minute to start working on the dissertation. Consider writing prompts that interest you, and choose a topic where you feel comfortable and confident. Follow your professor’s instructions and decide on your topic after discussing your ideas with him or her.

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