BusinessIntelligence_Final Paper & Presentation

Review the key concepts in Chapters 1-3. Afterwards, review the predictive analytics and machine learning concepts (Chapters 4-7) in your textbook. TextBook : Title: Business Intelligence and Analytics ISBN: 9780135192016 Authors: Ramesh Sharda, Dursun Delen, Efraim Turban Publisher: Pearson Publication Date: 2019-01-04 Edition: 11th ED. Look for examples in (Ch 1-3) on the basic concepts as it relates to the predictive analytics components from (Chapters 4-7). Select a major topic from Chapter 4 to 7 (as a team agree on one of them). Examples could be: o Data mining process, methods, and algorithms (Chapter 4), o Machine- learning Techniques for Predictive Analytics (Chapter 5), o Deep Learning and Cognitive Computing (chapter 6), or o Text Mining, Sentiment Analysis, and Social Analytics (Chapter 7) From Ch 1 to 3 relate these basic concepts to the “predictive analytics” components seen in Ch 4-7) in your document by: • Selecting a project in a company (this can be a made-up project but must be realistic). • What is the current industry? • What is the name of the organization? • How is it currently functioning today? • Select a key area of predictive analytics (Ch 4-7) to implement in the organization. Deliverable: In your Team Prepare a Cover page and 1-page outline noting the following information: • Cover Page: Title statement, topic sentence, active member names, course name, date • The project you are selecting: Title, Topic, Scope para’s (The project you are selecting: Title (1 line), Topic (2-4 sentences), Scope (1-2 para’s -what’s the general problem)? • The company and industry you are focusing on and related rationale/reasons 1-2 para • The overview of how “the company is functioning today and the problem” the team is trying to solve (at least high-level). 1-2 para • The chapter method will focus on – Chapter 4-7 why have you selected this area to focus on (related rationale/reasons)? 1-2 para • Teams complete their analysis, research, and outline Final Paper requirements: Ensure these headings and information are in your team paper o Title, Topic, Scope (the general problem)? o The company and industry focused on and related rationale/reasons. o The overview of how the company is functioning today and the problem the team is trying to solve (at least high-level). Details: o What are the predictive analytic components used in helping to solve the problem? Why? o How will you solve the problem with the selected method (this must be a thorough in-depth analysis)? o Indicate any Big Data Challenges or other technology or cultural challenges you may face and how you will mitigate these challenges in your presentation. The paper will be in the APA format, Cover page, Abstract (150-250 Wds) page, Outline page, Main Body, and Reference page. Approx. 11-13 pages. Run spell checker and grammar. Also provide a powerpoint presentation of the paper to present.