Connecting Data Science to the operations of a Business

Topic: Connecting Data Science to the operations of a Business

I. Title Page

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II. Abstract

III. Table of Contents

IV. Topic Introduction

A. Overview – Connecting Data Science to Business Operations

B. Introduction of the topic that includes a historical definition based on peer reviewed literature

C. Significance of connecting Data Science to Business (potential findings/importance)

D. Overview of 6 five key peer reviewed sources (within the last 5 years)

IX. Review of supporting research

A. Introduction to how the following research is connected together

B. Framework for literature review
• Topic sentence to provide an overview of the importance of the Journal Article as it relates to the topic
• What does this Journal Article do for your topic?
• What is research does the Journal Article provide?
• What are the major insights that can be gained?
• What are the key assumptions and limitations of the research?
• What specifically do the authors recommend exploring further?

C. Review of Journal Article 1

D. Review of Journal Article 2

E. Review of Journal Article 3

F. Review of Journal Article 4

G. Review of Journal Article 5

H. Review of Journal Article 6

X. Analysis and Results

A. Analysis: From a cumulative point-of-view (all six Journal Articles), what is current state of research?

B. Results: From a cumulative point-of-view (all six Journal Articles), what are the major themes that researchers are finding in this area?

XI. Summary, Conclusions, and Recommendations

A. Summary from a cumulative point-of-view (all six Journal Articles), what specifically do the Journal Articles recommend exploring further?

B. Conclusions

C. Recommendations

XII. References

A. Must be in APA 7th Edition format

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