Business Intelligence was once the domain of only large corporations. Today, software designed for Business Intelligence is becoming much easier for small and medium sized businesses to implement along with any business that wants the ability to analyze their own data.
Since the beginning of business, people have sought out a way to look at their data to bolster business. Going back through history to the days of the sandal-clad Roman street merchant you can see how he mastered the art of increasing his business. Back some 2,000 years ago the merchant noticed that more customers came to him to buy his wares when he used a canopy over his wagon to shield the rays and heat of the sun. The end result is increased business even though he has to put up the item on a daily basis, his business benefits.
Today that is not only considered smart, it is also considered to be Business Intelligence. At its most simplistic level, it is just reviewing data to make a better business decision tomorrow. Gone are the days when the modus operandi for standard businesses was to determine these things buy a gut feeling and intuition. Now it includes observing data, thus companies have an advantage and can guide their business moves based on the Business Intelligence.
Corporations have invested a great deal of time into harnessing Business Intelligence since the term ‘data warehousing’ was coined in the early 1990’s. It really started becoming vogue. Enterprises basically began to figure out how to retrieve the data from their operational systems and directly into the hands of management who made decisions without bogging down the system or the people behind it. Terrific progress has been made in the last couple of decades.
Companies like IBM and General Mills use complicated as well as expensive systems for Business Intelligence. These systems can pull the data together from a variety of operating systems and then generated reports that are sophisticated enough to reflect what happened in the past, but what is happening currently and to predict what is probable to happen.
Today’s corporations and small businesses use Business Intelligence tools today to accomplish things such as calculating the profit margins of their individual customers on a daily basis. They also track the path of navigation of each visitor to their website. In addition, they identify any type of fraudulent activity for a multitude of transactions in real time and offer service representatives a view of real time customer activity.
A great example of a company that uses Business Intelligence is Kelley Blue Book Company. They source, consolidate, analyze, and normalize millions of transactions in the automotive industry each week to provide the most accurate evaluations of cars in the industry.
MBA Dissertation Topics On Business Intelligence: 20 Best Ideas
Writing a dissertation on business intelligence is a major challenge for many MBA students. You need to choose a decent topic idea to make your research interesting and valuable. So, get started as soon as you get the assignment. The following guidelines and examples are designed to make this difficult task a bit easier for you.
Hints for Finding a Good Dissertation Topic for MBA Level
- Discuss your ideas with your professor and follow the guidance on generating, outlining, and finalizing your topic.
- Base your research in a real world of your study area, e.g. study business and management practices, investigate current issues, etc.
- Choose something that you feel comfortable and confident writing about, consider prompts that arouse your curiosity.
- Ensure that you’re knowledgeable about your subject, and it can be helpful for your future career.
- Avoid dissertation topics which are too complicated for you to research and write about; don’t aim to surprise your instructor.
- Consider an issue that you discussed in class, learn more about it, and come up with a perspective solution.
- Revise your textbook, class reading, and notes to think of something worth further exploration.
Top MBA Dissertation Prompts on Business Intelligence
- Creating a healthy business environment: data sharing issues.
- Time for changes: business intelligence innovations in the 21st century.
- Online data storage for enterprises: the effectiveness and ways for improvement.
- Meeting the company’s information requirements: useful strategies and possible complications.
- Using data discovery tools: the key advantages and disadvantages.
- Mobile business intelligence: the current state and development perspectives in different countries.
- Business data management: a comparison of different solutions.
- Using customer profiles: the core strategies for businesses regarding market share increase.
- The importance of market research for start-up companies.
- Applying high-cost analytic software: the main benefits.
- Ensuring the safety of data and information: security measures practiced by international companies.
- The ethical aspects of data sharing in the company’s environment: a case study of a particular organization.
- The issues related to large amounts of data accumulated throughout the decades.
- Supporting innovations in business intelligence: effective strategies.
- Improving the relationship between staff and clients: best practices of using various data.
- The most important functions of business intelligence.
- Optimization of key performance indicators: best practices in the developed countries.
- How much data in enough: the role of records amount and quality in business intelligence implementation.
- The vital features for a BI portal and a web portal in general: a comparison study.
- Problems that companies face with unstructured and semi-structured data.