Computer Science
Cumberlands Predictive Analytics and Predictive Modeling Essay

University of the Cumberlands

Question Description

I’m trying to study for my Computer Science course and I need some help to understand this question.

Please see attached file for complete requirements and instructions. No plagiarism.

Using APA 6th edition style standards, submit a Word document that is 3-4 pages in length (excluding title page, references, and appendices) and include at least two credible scholarly references to support your findings. Be sure to cite and reference your work using the APA guides.

Unformatted Attachment Preview

Topic: Predictive Analytics and Predictive Modeling Overview: Predictive analytics looks forward to attempt to divine unknown future events or actions based on data mining, statistics, modeling, deep learning and artificial intelligence, and machine learning. Business Intelligence, its predecessor in analytics, is a look backward. Predictive models are applied to business activities to better understand customers, with the goal of predicting buying patterns, potential risks, and likely opportunities. Each industry and business sector deploys predictive analytics in different ways to improve operations and reduce risk. Please select one industry from the list and present a use case for applying predictive analytics and predictive modeling. Retail Healthcare Sports Weather Insurance Energy Social Media Financial Services Guidelines for Submission: Using APA 6th edition style standards, submit a Word document that is 2-4 pages in length (excluding title page, references, and appendices) and include at least two credible scholarly references to support your findings. The UC Library is a good place to find these sources. Be sure to cite and reference your work using the APA guides and essay template that are located in the course room. Include the following critical elements in your essay: I. Use Case: Briefly describe a use case for applying predictive analytics in the industry you have selected form the list above. What predictive analytics strategy works best for this use case? (social network, location-based, text, speech, and facial or visual analyses, for example) II. Predictive Modeling: Explain how predictive modeling can be used in this case to help determine the optimal outcome for the scenario in the use case. Which predictive modeling technique best fits the use case for predicting favorable outcomes? (linear regression, decision tree, or clustering, for example) III. Data Mining: Describe one data mining technique that would be useful for collecting the data required to support the model which needs to be developed to predict the most suitable results to the use case (generalization, characterization, pattern matching, data visualization, evolution, or meta rule-guided mining, for example). Required elements: Please ensure your paper complies APA 6th edition style guidelines. There is an essay template located under the Information link. APA basics: o Your essay should be typed, double-spaced on standard-sized paper (8.5" x 11") o Use 1" margins on all sides, first line of all paragraphs is indented ½” from the margin o Use 12 pt. Times New Roman font Follow the outline provided above and use section headers to improve the readability of your paper. If I cannot read and understand it, you will not earn credit for the content. Critical Elements Use Case Predictive Modeling Proficient (100%) Summarizes a use case for applying predictive analytics in one industry and describes the predictive analytics strategy that works best. Explains how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. Needs Improvement (70%) Summarizes a use case for applying predictive analytics in one industry but does not describe the predictive analytics strategy that works best. Provides short explanation of how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. Explanation lacks detail. Not Evident (0%) Does not summarize a use case for applying predictive analytics in one industry nor describes the predictive analytics strategy that works best. Does not provide an explanation of how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. Valu e 30 30 Data Mining Describes one data mining technique that would be useful for Provides short description of one data mining technique that would be useful for collecting the data Does not describe one data mining technique that would be 30 Articulation of Response collecting the data required to required to support the model. useful for collecting the support the model. Explanation lacks detail. data required to support the model. Submission has major errors Submission has critical Submission has no major related to citations, errors related to citations, errors related to citations, grammar, grammar, spelling, grammar, spelling, syntax, spelling, syntax, or organization syntax, or organization or organization. that negatively impact that prevent readability and understanding of articulation of main ideas. ideas. EARNED TOTAL 10 100 % ...
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Final Answer

Please let me know if you need anything to be changed or added I will be happy to carry any changes, just leave me a message and will get back to you as soon as I can Bye for now, but will be here if you need any further help

Report: Predictive Analytics and Predictive_Modeling.

Predictive Analytics and
Predictive_Modeling.
by HAL

General metrics
6,468

1,009

59

4 min 2 sec

7 min 45 sec

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Report: Predictive Analytics and Predictive_Modeling.

Writing Issues
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1

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Unique Words

29%

Measures vocabulary diversity by calculating the
percentage of words used only once in your
document

unique words

Rare Words

38%

Measures depth of vocabulary by identifying words
that are not among the 5,000 most common English
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rare words

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words per sentence

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Predictive Analytics and
Predictive_Modeling.
PREDICTIVE ANALYTICS AND PREDICTIVE MODELING 2
Running Head: PREDICTIVE ANALYTICS AND PREDICTIVE MODELING 1

Predictive Analytics and Predictive Modeling
Name:
Institutional Af liation:
Date:
Predictive Analytics and Predictive Modeling
The selected industry
Predictive analytics plays a crucial role in performing a high-level analysis of
the potential occurrences which may arise in the future. Over the years, before
the introduction of the concept of predictive analytics, companies and
businesses used the past data to make decisions about the potential trends
that may occur in the future. However, the main problem associated with this
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Report: Predictive Analytics and Predictive_Modeling.

approach is that it was not based on understanding the changes witnessed on
the day to day basis in the market but on past occurrences. The past
circumstances may not always be used to determine the potential events that
may arise in the future.
Different industries have applied diverse technologies aimed at improving their
overall level of performance. The use of productive analytics in the healthcare
or retail sector has been based on the desire to understand the potential trends
that may be witnessed in the future as far as the industry and market is
concerned. This section looks at the case of the retail sector. The retail industry
is changing with the witnessed developments in technology. The changes in
technology have forced the respective agencies to adopt the right tools and
practices to guarantee maximum bene ts for the individual rms. Also, the
trends in consumer buying behaviour have been changing over the years. A
company that applies the basics of predictive analytics and modelling stands in
a better position to create a platform for improved insight into the needs and
demands of the consumers. Predictive analytics can be...

Robert__F (47014)
Carnegie Mellon University

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Anonymous
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