basic concepts to the predictive analytics

basic concepts to the predictive analytics

Instructions/Descriptions

basic concepts to the predictive analytics

Select an organization of your choosing. This can be real or hypothetical, but it has to be realistic.  Please ensure to review the basics from chapters 1-3 and relate these basic concepts to the predictive analytics components from part two (Chapters 4-7) in your text.

Then, select a key area of predictive analytics (from chapters 4-7) to implement in the organization. You must indicate,

why the predictive analytic component will be implemented by noting the problem you are trying to solve, how your team will solve the problem with the selected method (this must be a thorough, in-depth analysis), and presenting your findings using a PowerPoint presentation.

For example, let’s say your organization is going to implement a new Security Operations Center to address cybersecurity concerns. Explain how predictive analytics will play a significant role in this project.

Note any Big Data Challenges or other technology or cultural challenges you may face and how you will mitigate these challenges in your presentation.

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The requirements for this project are 10 to 15 pages properly APA formatted.

Here is an outline you can use for the project to establish section heads:

1.  Introduce The Organization
2. Industry, Location, Competitors, Employees
3. Infrastructure
4. Enterprise Layout, physical, logical, geographical, functional
5. Business Model
6. Operating Model for-profit, non-profit, Federal or State Government
7. Current Information Technology
8. Architecture, Platforms, Applications, Cloud, On-premises, Hybrid, etc.
9. Business Problem
10. The current business problem(s) that AI or descriptive, predictive or prescriptive analytics can address
11. Design and Implementation
12. Chosen methods of design and implementation
13. Results and Summary
14. Discuss the results of implementing an AI solution and results as they pertain to your project

basic concepts to the predictive analytics

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