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Business Intelligence
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What is Business Intelligence?

Business intelligence (BI) refers to the strategies, technologies, and processes organizations use to collect, analyze, and act on data. It is studied across business programs in courses covering information technology management, operations, and strategic decision-making. The topic is academically interesting because it sits at the intersection of data management, organizational behavior, and competitive strategy, raising questions about how companies transform raw data into actionable insight. Concepts such as knowledge management, data latency, workflow management, and social-technological frameworks in organizations all fall within its scope, making it a rich area for both theoretical and applied inquiry.

Student papers on this topic take several distinct approaches. Case-study analysis is common, with real company scenarios used to evaluate how organizations implement or improve BI systems. Some papers focus on planning and development, producing structured BI plans or examining business process and workflow management as foundations for effective intelligence systems. Others explore knowledge management as a complementary discipline, analyzing how accessing and leveraging existing information within a firm supports broader BI goals. Forecasting applications, such as analysing and predicting future sales, represent another practical angle students frequently pursue.

A strong essay on business intelligence should anchor its thesis in a specific organizational problem or decision context rather than describing BI in general terms. Evidence drawn from measurable outcomes — improved customer support, faster decision-making, or more effective data use — tends to carry more weight than abstract definitions. The most common pitfall is treating BI as purely a technology issue; examiners expect students to address how organizational culture, processes, and strategy shape whether a BI initiative actually succeeds.

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Paper Undergraduate
ERP Systems as a Financial Lifeline for Small Businesses
The rate of failure for ERP implementations in small businesses exceeds those in larger enterprises as smaller enterprises lack the resources to translate strategic objectives into tactical results and also have to…
Paper Undergraduate
Data Mining as a Strategic Technology: Trends and Uses
Evaluating Data Mining as a Strategic Technology
Paper Doctorate
Business Analytics Impact on Society Over the Next 20 Years
¶ … envision Business Analytic impacting business society 10-20 years? (i.e. personalized
Paper Doctorate
Vodafone New Zealand's enterprise data warehouse for customer retention and revenue growth
1. What were the challenges for Vodafone New Zealand? Vodafone New Zealand initially experienced very rapid growth, attaining 50% market share, yet began to see their sales and new customer growth stagnate at 56%. They were also facing higher costs of compliance and the need for controlling customer churn while increasing profitability. Vodafone New Zealand also needed to understand how best to increase their profit margins, increase revenue with new and existing customers while also monitoring how competitors and market conditions impacted their business. Vodafone New Zealand was also challenged with knowing how best to manage their marketing strategies for greatest return, incouding understanding how and when to initiative marketing and selling strategies by market segment. 2. How did it address these issues? Vodafone chose to implement an Enterprise Data Warehouse (EDW) that aggregated legacy, CRM, support, pricing and marketing databases into a single view of all information in the organization. The customer knowledge and analysis department was responsible for implementing the EDW to support their market analysis, market research, modeling and competitive intelligence efforts. This department had responsibility for supporting the entire organization with intelligence on customers and markets. The customer knowledge and analysis department also worked with the sales and marketing departments of Vodafone to make applications and tools based on the EDW available to them, so they could more effectively plan, execute and measure their marketing strategies. The result was a greater accuracy and precision in marketing strategy, which is leading to the development of an application to optimize both revenue and prioritization of customer offers.
Paper Masters
Global economy impacts on information systems and business supply chains
¶ … global economy or internationalization has changed the use of information systems by businesses.
Paper Doctorate
Oracle business intelligence software products and applications
The complexity of the business environment that affects companies' activity requires business intelligence solutions that are able to address problems that emerge because of the changes produced within the environment.
Paper Doctorate
Security strategy for Making Money Corporation's distributed databases
Providing analysis and recommendations for securing the network connections, databases, and data mining applications of the Making Money Corporation (MMC) is the goal of this paper.
Essay Doctorate
Real-time analytics and business intelligence in ebusiness strategic planning
How the Internet Is Changing eBusiness Planning
Paper Undergraduate
Starbucks and McDonald's cultural conflicts in Italy and China
The objective of this work in writing is to examine a multinational organization that has experienced cultural conflicts both internal and external to the organization. This work will define the culture conflict and…
Paper Undergraduate
Forecasting methods for Burger Queen restaurant expansion strategy
Of the many types of forecasts that would need to be created to deliver accurate location analysis and expansion plans, the most critical of all are geo-economic analysis of potentially high growth areas that would not cannibalize the sales of existing Burger Queen restaurants. Location-based and impact assessment programs would need to be created for each of the specific locations being considered to ensure other restaurants' sales and the potential business of other franchisees is not negatively impacted by the decision to expand (Leung, 2003). Location and impact assessments would need to take into account the composition of the target market in the immediate radius of the potential sites by socio-economic, demographic, psychographic and existing brand loyalties as well. All of these analyses could be completed using data dining and advanced analytics processes and procedures to ensure orthogonality of each location relative to another and consistency of selection criteria being used (Prewitt, 2007). With econometric and customer segmentation data, both simple and gravitational methods for trade area analysis next need to be completed. Using a Geographic Information System (GIS) to integrate together data sets of population size, demographic composition, per capita incomes, discretionary income and an assessment of local competition . the manager for Burger Queen could have an excellent idea of where each store location needs to be based. Using GIS data to further differentiate by open retail locations could also give the manager greater insight into how best to geographically position the potential Burger Queen locations for greatest competitive advantage against the competition as well (Prewitt, 2007). In addition to accomplishing these tasks from an analytics standpoint, the GIS system could also tell the manager were competitors are the strongest, meaning they are areas that are unassailable in terms of market development (Leung, 2003). For example of there is a specific area of the city or region that is highly loyal to Subway or McDonald's, the GIS systems could quickly show that data, indicating high concentrations of very brand-loyal customers. This would make launching a store in any of these locations extremely difficult.