Analyze Gap Between Practice in Business Intelligence and Theory
Dropbox Special Access: Week 5 - Assignment: Analyze the Gap Between Theory and Practice in Business Intelligence - DueJun 7, 2020 11:59 PM
TIM-7020 v4: Databases & Business Intelligence (5136361020)
The journal article listed in this week’s resources provides a supplemental information that examines current theory and practice of BI.
Conduct additional research on existing theories in business intelligence (BI). What common theories exist? Have the theories evolved over time? Now, research how these theories are used in practice. You will likely have to include business journals and practical application of the concepts. Choose at least one major theory for further gap analysis. Write an assessment outlining the following:
1. Explain why the theory that was chosen.
2. Provide analysis of the gap between theory and practice (industry literature can help show the state of practice and help you determine the gaps compared with the scholarly literature).
3. Outline the root cause of this gap and include the effect of the gap. Whom or what does it impact? Is it a positive or negative impact?
Support your paper with a minimum of five scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including seminal articles, may be included.
Length: 5-7 pages, not including title and reference pages
Your assignment should demonstrate thoughtful consideration of the ideas and concepts presented in the course by providing new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University's Academic Integrity Policy.
Upload your document and click the Submit to Dropbox button.
Criteria
Achievement Level 1
(full points):
Criterion included and meets all requirements
Achievement Level 2
(partial points):
Criterion included, not fully meeting requirements
Achievement Level 3
(partial points):
Criterion included, minimally meets requirements
Achievement Level 4
(no points):
Criterion not included
Total Points
Criterion 1,
3 points:
Writing Quality
Only very minor problems with text/grammar (3)
Some issues with text/grammar but nothing significant (2)
Moderate issues with text/grammar (1)
Significant problems with text/grammar (0)
Criterion 2,
1 Point:
References
Proper amount of references used and no issues with formatting (1)
Minor issues with missing references or minor problems with formatting (.75)
Attempt at adding references, but improperly used when attempt was made (.5)
No References used (0)
Criterion 3,
4 points: Properly Addressed Issues
All items properly addressed and no significant unanswered questions about direction or process used (4)
Minor issues with work’s content including recommendations or reasoning (3)
Moderate issues with work’s content including recommendations or reasoning (2)
Significant issues with work’s content including recommendations or reasoning (0)
Total Points
Business Intelligence and Theory
Student’s Name
Institution
The Gap Between Practice in Business Intelligence and Theory
Business Intelligence (BI) refers to practices, applications, technologies that help in the running of a business, and presentation of information regarding a business. By the optimization that leads to performance, a company can be in a position to be competitive in a market that is transformative as a business can be ready for any challenge. Analyzed data shows a valuable asset that is vital to managers and other people that make decisions. In recent times, businesses have been applying the BI system to make data meaningful (Trieu, 2017). There is still a gap in the way the theories are used as much as there is growth in the area of business intelligence. Data mining is a significant theory that is used in BI.
Data mining is a significant phrase that is applied in the area of BI. Data mining refers to the analysis, including examination of large amounts that have data to know essential rules with their models. Companies use data mining as a method of promoting client support systems, sales, and marketing by getting to understand clients more. As a business expands, the clientele base keeps growing (Tan et al., 2016). In order to make sense with the massive amounts of data, data mining methods have been developed to assist in bringing to sense about the functions of data mining.
The world of business has changed as customers get to change suppliers without incurring any cost, so organizations are using data mining to keep customers. By using BI and data mining, businesses can study the patterns through the careful study of data. It then becomes easy for businesses to have better marketing strategies whereby they get to add in their sales and lead to a minimization of costs (Tr...
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