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ITS 4099 South University Savannah Business Intelligence Research Proposal

ITS 4099

South University-Savannah

ITS

Question Description

I’m studying for my Computer Science class and need an explanation.

This week, you will begin building a literature review research project by submitting a research proposal for approval.

During the week, you should identify areas of interest that you would like to use as a basis for your literature review research project. You should select an area that correlates with either your current or your targeted job in the IT field (or related line of work) based upon your chosen specialization in your IT coursework. The following is a potential list of research areas in the IT field; Select a topic from this list:

  • Artificial Intelligence and Machine Learning
  • Business Intelligence
  • Information Assurance and Systems Security
  • Information, Communication, and Mobile Technology
  • Network Operations Management and Development

On the basis of your chosen topic, identify the problem statement and state specific research questions and hypotheses on which your literature review research project will be based. Include at least one research question and one preliminary hypothesis. Set as an objective to arrive at a worthwhile, justifiable, even compelling research question as you discussed earlier under the Submissions Area. The preliminary hypothesis will reflect your initial perspective of your research, but you will be able to refine it or even change it as you progress in your research.

In your proposal, include background information on why the topic is being selected and the goals of the research questions and hypotheses statements. The length of your proposal should be 5–7 pages in a Microsoft Word document, including title page and references.

Submission Details:

  • Cite any references and use APA format

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Final Answer

Attached.

Running head: BUSINESS INTELLIGENCE

Business Intelligence
Name
Institution
Date

1

BUSINESS INTELLIGENCE

2

Background Information
Business intelligence (BI) utilizes data mining, business analytics, data tools and
infrastructure, data visualization, and a couple of other best practices to enable organizations
to make more effective data-driven decisions (Azma & Mostafapour, 2012). In contemporary
times, businesses know that they have modern and effective business intelligence when they
have a more comprehensive perspective of the business's data and utilize that data to eliminate
inefficiencies, drive change, and supply changes. By definition, business intelligence includes
technologies, tools, and strategies utilized by organizations to analyze business information
and data. One of the critical reasons to invest in a business intelligence system is to increase
organizational efficiency. With increased efficiency comes increased productivity, which, in
turn, improves the financial performance of the entire corporation. A business intelligence
system saves on time when it comes to reporting analytics and other processes. (Azma &
Mostafapour, 2012) This area of research is extremely critical for business owners because it
advances their knowledge of data management. Also, the area of study is equally critical
because it enhances the ability to establish suitable opportunities for a business, thus enabling
business owners and leaders to plan for the future.
While the fundamental tenet of business intelligence is that it can analyze the future and
predict the past, this area of study is not limited to sales and marketing but also in health
facilities in the analysis of treatment regimens (Olszak, 2016). Because of business intelligence,
business leaders across the globe have discovered how to utilize data to its fullest potential, a
move that is contributing positively towards business success. It is important to note that there
are various business intelligence tools used by various organizations. Currently, there is more
information on what tools and business intelligence systems work better. Besides, business
intelligence tools, in the current times, have become more attainable. According to Olszak
(2016), business intelligence tools have enabled an organization to have robust data analysis

BUSINESS INTELLIGENCE

3

capabilities. Finding trends and receiving insights is critical for an organization to adapt and
scale up as the days go on. This is particular, what business intelligence software comes in.
Business intelligence is critical for data governance. An effective business intelligence
strategy is made up of an effective data governance policy. It is imperative to cleanse the data
before feeding it into the business intelligence tools for analysis. As mentioned earlier, business
intelligence tools are attainable, and they come in different groups, with dist...

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