Business intelligence and analytics

Assignment Help Basic Computer Science

Reference no: EM133026866

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:

- Data mining process, methods, and algorithms (Chapter 4),

- Machine- learning Techniques for Predictive Analytics (Chapter 5),

- Deep Learning and Cognitive Computing (chapter 6), or

- 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.

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.

Reference no: EM133026866

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