Complete the following tasks by using the dataset of Walmart.

Develop a DW and BI system. In your design, consider the following:

(For sections 1 the figure numbers refer to lecture 8-Building Dimensional Models and the supporting graphics file, DW Process.pdf)

Select an industry and organization. Select candidate subject areas and develop a high-level bus architecture, showing candidate fact and dimension tables. Describe the sequence of construction and why. Use the following artifacts (all or some)
High-level Bus Matrix (Fig 3-5), Opportunity Matrix (Fig 3-6), Prioritization Grid (Fig 3-7), Low-level Bus Matrix (Fig 7.1)
Identify possible conformed dimensions and reference back to the bus architecture showing the fact tables involved with each conformed dimension.
Identify representative transformation rules.
Design one aggregate table. Identify and explain if it’s 1-way, 2-way, etc.
Design one cube (MDDB). Identify the facts, dimensions and, for each dimension, whether it’s dense or sparse and why, and aggregation levels (dimension hierarchies).
The link to this dataset is https://www.kaggle.com/rahulbagga/walmart-data.

Finish all the four tasks by writing a detailed report.

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Write an analytical summary of your learning outcomes from chapters 9 and 10. In addition to your analytical summary, address the following:

1. As a manager, discuss how you would use or have used the concepts presented in chapters 9 and 10.
2. Why might managers find a flexible-budget analysis more informative than static-budget analysis?
3. How might a manager gain insight into the causes of flexible-budget variances for direct materials, labor, and overhead? Provide at least one numerical example to support your thoughts.

APA format minimum 600 words with references

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