Business intelligence deals with high tech applications and devices for business analysis and decision making and this is configured within business intelligence dissertation topics. It is technically a different area as compared to business reporting and requires specialist skills application to resolve business issues. The skills are related to a thorough analysis of available data to solve technical problems through application of specialist industry knowledge
Business intelligence research topics comprise of issues ranging from inter-personal communication skills to acknowledgement, recognition and critical analysis f problems so that viable solutions can be proffered.
A list of Business Intelligence topics:
The following is a list of business intelligence research paper topics to help choose a good topic.
Big data and metafraud—using business intelligence concepts to establish theoretical links.
How do accounting firms utilize business intelligence? An investigation from the UK.
Business intelligence for data mining and influence on decision making in the UK.
An extended literature review of business intelligence- parameters, models and implications.
Blogs as collectors of consumer preferences for business intelligence.
Bridging the gap between theory and practice for business intelligence models- a systematic literature review.
The impact of business intelligence in network security systems- an overview.
Assessing the performance and efficacy of business intelligence to SMEs in the UK.
A comparative analysis of business intelligence usage in developed and developing countries.
Do managers require formal training to use business intelligence? Perspectives from the UK.
Developing an understanding for the business intelligence competency center- role and responsibilities.
A historical perspective of business intelligence, current practice and future developments.
How does business intelligence aid project lifecycle management?
The use of self-service business intelligence for small businesses- an exploration.
Business intelligence critical success factors- an understanding.
Organizational culture and business intelligence- tracing a relationship.
Procurement and logistics and use of business intelligence- exploring the degree of efficacy achieved.
Business intelligence and data mining and the creation and applicability of the Web Business Intelligence- developing an understanding.
Valuing business intelligence within the context of multinationals, SMEs, and family owned enterprises.
The impact of business intelligence on profit generation in the US.
Exploring and evaluating the future of business intelligence.
The needs assessment and application of business intelligence systems in the hotel and tourism industry.
Does the hotel and tourism industry require business intelligence systems apart of social media applications it is currently exploiting? An analysis.
Espionage, hacking and business intelligence- what is happening?
An analysis of agile analytics as an extension of the rapidly growing business intelligence systems- applications and barriers.
How relevant is mobile business intelligence to multinationals in implementing disaster management programs in emerging economies?
Assessing the critical success factors of application of business intelligence systems in SMEs in the UK.
The role of organizational culture in adoption of business intelligence systems in emerging economies: the role of national culture and critical success factors in adoption.
Research on consumer behaviour through mobile business intelligence systems- ethical considerations.
The future of mobile commerce in Africa- an assessment of physical infrastructure and software compatibility.
There you go. Use the list well and let us know if you have any comments or suggestions for our topics related blog posts for the future or looking to get help with dissertation writing, send us an email at firstname.lastname@example.org.
Paid Topic Consultation Service
You will get the topics first as per the given requirements, and then the brief which includes;
- An explanation why we choose this topic.
- 2-3 research questions.
- Key literature resources identification.
- Suitable methodology with identification of raw sample size, and data collection method
- View a sample of topic consultation service