Mosaic data analytics process

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Reference no: EM133258427

Data Analytics Project and Presentation

The purpose of this project is to apply the "MOSAIC" data analytics process you have learned to real, business-related data. To do so, you will:

Find and use your own, real data.
Propose your own project motivation and objective(s).
Manage your data through the analysis and interpretation phases.
Communicate your analysis and insights via a pre-recorded video presentation to this assignment using the Panopto upload tool in the menu bar above.

Question 1. Find and use your own, real data.

Your dataset must meet the following parameters:
Data must be real data (e.g., company information, city expense transactions; not textbook data, not pretend/"dummy" data).
Data must be business-related data, not data on phenomena such as weather, traffic, solar flares, or the wild duck population in Maine.
The final dataset must contain at least 5,000 records (i.e., rows) of data.
The final dataset must include at least 4 data fields/attributes (i.e., columns of data) for each record (i.e., row).
The final dataset must include data for 3-10 fiscal or calendar years.
The most recent year-end data must be from within the last two calendar years

Question 2. Propose your own project motivation and objective(s)

Minimum Project Requirements (maximum project grade "B")
Correctly implement analytical objectives for at least five (5+) descriptive analyses and at least one (1+) diagnostic analysis.

Reference no: EM133258427

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