Computer Science
Cumberlands Emerging Trends in Data Analytics and Business Intelligence PPT

University of the Cumberlands

Question Description

I’m studying for my Computer Science class and don’t understand how to answer this. Can you help me study?

Your paper should address the following points:

1.Describe the emerging trend in a way that would be understandable to a nontechnical business manager.

2.Articulate how the author addressed the subject matter in the text assigned to this class.

3.Provide at least three examples of how the trend is being applied in organizations currently and describe them in detail (one paragraph each minimum for each of the examples).

4.Predict how the trend is likely to develop over the next 5 years.

5.Analyze how the trend may impact business organizations in the coming years, including both positive and negative impacts.

6.Recommend what you think interested business organizations should do in regards to this trend.


1.Residency Research papers must be 6-8 pages in length (excluding the title page and the reference list). The paper is to be in 12-point, Times New Roman font; be double spaced; and include a title page, body of the paper, summary or conclusion, and references. APA format is 1” margins, with page header that contains short title of your paper on the left and the page number on the right. The paper is NOT to contain any illustrations or diagrams unless approved by the professor and does not extend your paper length.

2.Papers must follow APA format.

3.References are very important. At least four authoritative, outside references are required with ONE REFERENCE BEING YOUR ASSIGNED TEXT. The other three references can be from your advance assignment on references. That was the point of that advance assignment – so you would not have to do additional research unless you wanted to. Anonymous authors are not acceptable. At least three references must be peer-reviewed, scholarly papers from the University of the Cumberlands University Library. All should be listed on the last page, titled references.

4.Appropriate intext citations are required. I would expect to see 4-7 intext citations minimum and no more than 10. If it’s more than that, you are likely over-citing. Remember that for each reference you use, there needs to be an intext citation and for every intext citation there needs to be a reference.

5.There shouldn't be any Plagiarism.

Student has agreed that all tutoring, explanations, and answers provided by the tutor will be used to help in the learning process and in accordance with Studypool's honor code & terms of service.

Final Answer



Emerging trends in data analytic and business intelligence
Student Name
Name of Institution




Emerging trends in data analytic and business intelligence
Data analytic is the science of analyzing data to enhance the process of presenting a
unique conclusion concerning the information given for analysis. The data is further utilized to
optimize the processes to improve the efficiency and effectiveness of a firm and technology
system within the organization. Business intelligence, on the other hand, is a set of processes
and technologies that enable a user to convert raw data into meaningful information that presents
several benefits to an organization. The concept of business intelligence and data analytic has
undergone significant trends. My document presents a qualitative analysis of the emerging trends
in Data analytic and business intelligence.
The emerging trends in data analytics and business intelligence
Over the past decades, business intelligence has experienced a great revolution due to the
emerging technology and needs of the different corporations. However, in 2019 business
intelligence experienced significant trends in various fields that have benefited organizations in
different ways. The trends will continue to be experienced at a significant level as the
improvement in multiple fields of technology is impacted. Therefore, business intelligence tools
and strategies will be more productive and become increasingly customized (Ruzgas, n.d).
Currently, organizations have been able to prove the importance of various business intelligence
tools due to the increased efficiency and effectiveness of the tools. As a result, we tend to prove
that 2020 will be a productive year where data quality management and discovery will be
improved and enhanced. The major business trends experienced are as follows.



Data quality management. The advancement of business intelligence ideas and
concepts to evaluate and extract value from several sources of information at huge quantity made
the organizations to experience several errors as well as low-quality reports. However, research
has indicated that data quality management has been the most significant trend experienced by
organizations in 2020. The concept and ideas have facilitated the process of gathering a huge
volume of data, enhancing the quality information as well as the context in which the
application of the analyzed data is used. Data quality management is the primary trend that has
facilitated all other improvements (Rejikumar et al., 2020).
In addition, companies have been able to understand and evaluate the benefits of data
quality and evaluation in terms of promoting the decision making processes of an organization.
Therefore, the utilization of data quality management has been enhanced and increased. The
data quality management helps an organization to gather, implement advanced information
process, and distribute information effectively to the entire organization. The benefits of data
quality management outweigh the cost required during the implementation of the platform. In
general, the aspect of data quality management is not only advancing in business intelligence but
also developing as an essential concept and technology that companies should adopt for effective
investment. Therefore, it will be necessary for all organizations to implement the idea to enhance
their performance.
Data discovery and visualization: the aspect of data discovery has dramatically
increased its impact on business organizations. The advancement of data discovery has been an
essential trend in the world. Data discovery tools rest on the process utilized and the discoveries
that are generated to benefit an organization (Pramanik et al., 2020). Therefore, data discovery
tools, and the process, requires that an organization should understand the relationship that exists



between statistics in terms of groundwork, graphic analysis as well as directed advanced
analytic. The utilization and demand for data discovery tools indicate that there is a significant
shift in terms of business intelligence towards increased data utilization. The characte...

Duke University

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