A data analyst of a construction company chooses to analyze the historical data as the construction project is for a very short time period.
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What is a construction company?</h3>
A construction company is an entity that takes on construction projects of making buildings, towers, bridges, flyovers, etc.
When the construction project is for a short duration, then the data analyst decides to analyze the historical data, that is, the data that is based on past figures and has not been affected by any market fluctuations. It helps the data analyst to make a report in a quick manner without any kind of further delay.
Therefore, the historical data can be studied by a data analyst where the construction project is completed in a short span of time.
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Answer:
The answer is:
1 - Underutilization
2 - Efficiency
3 - Unattainability
Explanation:
Efficiency in economics means a situation in which all resources are optimally distributed to serve each entity in the best way while minimizing waste and inefficiency.
Underutilization in economics is also a a situation in which lesser resources are being utilized than the economy is capable of utilizing.
Unattainability is a situation in which what one to accomplish or achieve is not possible.
1 - Underutilization
2 - Efficiency
3 - Unattainability
Answer:
III only.
Cultural attitudes toward antitrust law differ.
Explanation:
Competition law is an area of law that seeks to maintain a level playing field for all participants in an industry by protecting them against anti-competitive conduct by companies.
For example two major players in an industry may collaborate to raise price of goods.
However in foreign competition law we have to consider that cultural attitudes towards antitrust law differs. What is accepted in one country may not apply in another. So there is absence of litigation when considering competition in the foreign scene.
Answer:
Customer satisfaction is a term frequently used in marketing. It is a measure of how products and services supplied by a company meet or surpass customer expectation.
Explanation:
~hope this helps
If a supply chain manager can reduce inventory while keeping the flow rate constant, little's law predicts flow time will go down.
Little's Law is a theorem that calculates the average number of items in a stationary queuing system based on an item's average waiting time and the average number of items arriving at the system per unit of time.
The law establishes a straightforward and obvious method for evaluating the efficiency of queuing systems.
The notion is extremely important for business operations since it states that the number of items in the queuing system is determined primarily by two essential variables and is unaffected by other factors such as service distribution or service order.
Hence, the answer is that the flow time will go down.
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