Data that can be modeled as dimension attributes and measure attributes are called <u>_Multi-dimensional__</u> data.
Multi-dimensional data are the data that can be modeled as dimension and measure attributes. It is a data set that has many columns, which is also known as features or attributes. The more features or attributes in the mult-dimensional data set can help you to discover more insights. In the multi-dimensional data, you can integrate queries instead of submitting the queries as in the relational database.
In the multi-dimensional data set you can manipulate different perspective and dimension by features or attributes. Multi-dimensional data modeling can dig deeper for deriving insights than the two-dimensional relational data set. It can view the data in the form of a data cube. Data cube can be modeled and viewed as in multiple dimensions.
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Answer:
119 customers per day
Explanation:
The computation of the needed capacity requirement is shown below:
But before that first we have to determine the utilization rate which is
As we know that
Cushion rate = 100% - average utilization rate
25% = 100% - average utilization rate
So, the average utilization rate is 75%
Now the needed capacity requirement is
Utilization rate = Average output rate ÷ Maximum capacity × 100
75% = 89 ÷ Maximum capacity × 100
So, the maximum capacity is 119 customers per day
Answer:
106,200 units
Explanation:
During August,
Department Z started and completed = 90,000 units
Finished units = 18,000 units
Ending inventory = 26,000 units
The number of equivalent units of production for Department Z during August:
= Started and completed units + (25% of finished units) + (45% of Ending inventory)
= 90,000 + (18,000 × 0.25) + (26,000 × 0.45)
= 90,000 + 4,500 + 11,700
= 106,200 units
Answer: 0 years
Explanation:
The payback period calculates the amount of time taken to recoup the initial investment made in a project or in the purchase of a machine or building. It calculates how long the cumulative cash flow generated from a project equals the cost of the project.
The payback period for both machines are zero years because the cumulative cash flow is less than the cost of the machine.
For machine A - cumulative cash flow- $-47,000 is less than -$71,000
For machine B - cumulative cash flow, -$7,000 is less than -$52,000
Explanations on how the figures were derived is found in the attached tables.
