Briefly describe four of the ten types of matrices that are beneficial during information systems planning
What will be an ideal response?
The types of matrices typically developed include the following:
• Location-to-Function: This matrix identifies which business functions are being performed at various organizational locations.
• Location-to-Unit: This matrix identifies which organizational units are located in or interact with a specific business location.
• Unit-to-Function: This matrix identifies the relationships between organizational entities and each business function.
• Function-to-Objective: This matrix identifies which functions are essential or desirable in achieving each organizational objective.
• Function-to-Process: This matrix identifies which processes are used to support each business function.
• Function-to-Data Entity: This matrix identifies which business functions utilize which data entities.
• Process-to-Data Entity: This matrix identifies which data are captured, used, updated, or deleted within each process.
• Process-to-Information System: This matrix identifies which information systems are used to support each process.
• Data Entity-to-Information System: This matrix identifies which data are created, updated, accessed, or deleted in each system.
• Information System-to-Objective: This matrix identifies which information systems support each business objective as identified during organizational planning.
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Taxes payable under the Federal Unemployment Tax Act (FUTA) are
A. Calculated as a fixed percentage of all compensation paid to an employee. B. Deductible by the employer as a business expense for federal income tax purposes. C. Payable by employers for all employees. D. Withheld from the wages of all covered employees.
A factor model that provides a good fit to the data has many large residuals
Indicate whether the statement is true or false