Hello I am working in question I give you the answer of CLA 2 I attached the fil

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Hello I am working in question I give you the answer of CLA 2 I attached the fil

Hello I am working in question I give you the answer of CLA 2 I attached the file and the have 8 question I attached here the ( CLA 2 and 8 question ) you should make it power point file presentation summarizing the CLA 2 answer and the 8 question I attached you should be 18 slides
please prepare a professional PowerPoint presentation summarizing your findings for CLA2. The presentation will consist of your major findings, analysis, and recommendations in a concise presentation of 18 slides (minimum). You should use content from your CLA2 report as material for your PowerPoint presentation. And you should answer the 8 question

The 8 question
Course Learning Outcomes (CLOs) PLOs
1. Describe the business intelligence (BI) methodology and concepts and
understand the need for computerized support of managerial decision
making.
2. Describe statistical modeling and its relationship to business analytics and
understand the importance of data/ information visualization.
3. Understand data warehousing architectures and describe the process used
in developing and managing data warehouses.
4. Define data mining as an enabling technology for business analytics and
understand the objectives and benefits of data mining.
5. Describe text analytics and understand the need for text and mining and
differentiate among text analytics, text mining, and data mining.
6. Understand the applications of prescriptive analytics techniques in
combination with reporting and predictive analytics and the basic concepts
of analytical decision modeling.
7. Describe Big Data and how it is changing the world of analytics and
understand the wide range of enabling technologies for Big Data analytics
such as Hadoop, MapReduce, and NoSQL as they relate to Big Data
analytics.
8. Describe the emerging Internet of Things (IoT) phenomenon, potential
applications, and the IoT ecosystem and the current and future use of cloud
computing in business analytics.

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