Assessing performance of an agent based on commission rate, market share and revenue
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I have a set of data for agents selling properties (apartments) for a company in different states. The company would like to assess the performance of the different agents given the following:
Number of apartments sold
Market share (%)
Total Revenue
Commission Rate (%)
In each state, there are a number of agents working for the company. Of course we would like to keep the agents that are bringing more revenue, selling more apartments, having greater market share and lower commission rate. However I am not sure how to tackle this four dimensional problem in the simplest possible way. I would like to give a score of 10 for each of the agents based on his performance. After that I will like to discard some of the under-performing agents in each state. Any clue from where to start?
machine-learning classification data-mining decision-trees scoring
asked 4 hours ago
HaneenSuHaneenSu
11
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add a comment |
$begingroup$
I have a set of data for agents selling properties (apartments) for a company in different states. The company would like to assess the performance of the different agents given the following:
Number of apartments sold
Market share (%)
Total Revenue
Commission Rate (%)
In each state, there are a number of agents working for the company. Of course we would like to keep the agents that are bringing more revenue, selling more apartments, having greater market share and lower commission rate. However I am not sure how to tackle this four dimensional problem in the simplest possible way. I would like to give a score of 10 for each of the agents based on his performance. After that I will like to discard some of the under-performing agents in each state. Any clue from where to start?
machine-learning classification data-mining decision-trees scoring
asked 4 hours ago
HaneenSuHaneenSu
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a set of data for agents selling properties (apartments) for a company in different states. The company would like to assess the performance of the different agents given the following:
Number of apartments sold
Market share (%)
Total Revenue
Commission Rate (%)
In each state, there are a number of agents working for the company. Of course we would like to keep the agents that are bringing more revenue, selling more apartments, having greater market share and lower commission rate. However I am not sure how to tackle this four dimensional problem in the simplest possible way. I would like to give a score of 10 for each of the agents based on his performance. After that I will like to discard some of the under-performing agents in each state. Any clue from where to start?
machine-learning classification data-mining decision-trees scoring
asked 4 hours ago
HaneenSuHaneenSu
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a set of data for agents selling properties (apartments) for a company in different states. The company would like to assess the performance of the different agents given the following:
Number of apartments sold
Market share (%)
Total Revenue
Commission Rate (%)
In each state, there are a number of agents working for the company. Of course we would like to keep the agents that are bringing more revenue, selling more apartments, having greater market share and lower commission rate. However I am not sure how to tackle this four dimensional problem in the simplest possible way. I would like to give a score of 10 for each of the agents based on his performance. After that I will like to discard some of the under-performing agents in each state. Any clue from where to start?
machine-learning classification data-mining decision-trees scoring
machine-learning classification data-mining decision-trees scoring
asked 4 hours ago
HaneenSuHaneenSu
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
HaneenSuHaneenSu
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 3 hours ago
HaneenSu
asked 4 hours ago
HaneenSuHaneenSu
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
HaneenSuHaneenSu
11
asked 4 hours ago
HaneenSuHaneenSu
11
11
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
HaneenSu is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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