What Predictions can be done for Restroom/Washroom Data? [on hold]












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My company has installed sensors, which actually monitors the Restrooms/Washrooms in the Building. Currently the sensors collect data such as Ammonia, Nitrous and Visitors Count;



All the data collected are time-series data and I have a huge quantity of those. My question is what type of predictions can be done that can add value to this business?



Can I use the power of Data Science to avail something which can make my restroom more smarter?










share|improve this question











$endgroup$



put on hold as unclear what you're asking by Spacedman, Siong Thye Goh, Toros91, Dan Carter, Mark.F yesterday


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
    $endgroup$
    – Spacedman
    2 days ago










  • $begingroup$
    I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
    $endgroup$
    – Aditya
    2 days ago










  • $begingroup$
    The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
    $endgroup$
    – Spacedman
    2 days ago
















0












$begingroup$


My company has installed sensors, which actually monitors the Restrooms/Washrooms in the Building. Currently the sensors collect data such as Ammonia, Nitrous and Visitors Count;



All the data collected are time-series data and I have a huge quantity of those. My question is what type of predictions can be done that can add value to this business?



Can I use the power of Data Science to avail something which can make my restroom more smarter?










share|improve this question











$endgroup$



put on hold as unclear what you're asking by Spacedman, Siong Thye Goh, Toros91, Dan Carter, Mark.F yesterday


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.


















  • $begingroup$
    How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
    $endgroup$
    – Spacedman
    2 days ago










  • $begingroup$
    I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
    $endgroup$
    – Aditya
    2 days ago










  • $begingroup$
    The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
    $endgroup$
    – Spacedman
    2 days ago














0












0








0





$begingroup$


My company has installed sensors, which actually monitors the Restrooms/Washrooms in the Building. Currently the sensors collect data such as Ammonia, Nitrous and Visitors Count;



All the data collected are time-series data and I have a huge quantity of those. My question is what type of predictions can be done that can add value to this business?



Can I use the power of Data Science to avail something which can make my restroom more smarter?










share|improve this question











$endgroup$




My company has installed sensors, which actually monitors the Restrooms/Washrooms in the Building. Currently the sensors collect data such as Ammonia, Nitrous and Visitors Count;



All the data collected are time-series data and I have a huge quantity of those. My question is what type of predictions can be done that can add value to this business?



Can I use the power of Data Science to avail something which can make my restroom more smarter?







predictive-modeling data-science-model forecasting






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday







JBH

















asked 2 days ago









JBHJBH

272




272




put on hold as unclear what you're asking by Spacedman, Siong Thye Goh, Toros91, Dan Carter, Mark.F yesterday


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









put on hold as unclear what you're asking by Spacedman, Siong Thye Goh, Toros91, Dan Carter, Mark.F yesterday


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.














  • $begingroup$
    How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
    $endgroup$
    – Spacedman
    2 days ago










  • $begingroup$
    I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
    $endgroup$
    – Aditya
    2 days ago










  • $begingroup$
    The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
    $endgroup$
    – Spacedman
    2 days ago


















  • $begingroup$
    How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
    $endgroup$
    – Spacedman
    2 days ago










  • $begingroup$
    I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
    $endgroup$
    – Aditya
    2 days ago










  • $begingroup$
    The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
    $endgroup$
    – Spacedman
    2 days ago
















$begingroup$
How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
$endgroup$
– Spacedman
2 days ago




$begingroup$
How can we suggest things that "add value to this business" if we don't know what the business is and what its income is. Do people pay to use these washrooms?
$endgroup$
– Spacedman
2 days ago












$begingroup$
I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
$endgroup$
– Aditya
2 days ago




$begingroup$
I believe the company does the installation of the sensors as it's USP and the analytics as a result of this..
$endgroup$
– Aditya
2 days ago












$begingroup$
The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
$endgroup$
– Spacedman
2 days ago




$begingroup$
The most useful thing data science could do in a smart washroom would be to predict when the paper is going to run out...
$endgroup$
– Spacedman
2 days ago










1 Answer
1






active

oldest

votes


















1












$begingroup$

Welcome to the site! In order to prevent from falling into common data science traps, I would encourage you to think about the following:




  1. You should never take data at face value. You should be thinking about the transforms that you could be doing to your data to get more insights. For example, from the fields you have, you can also determine the time in between visitors, right? Can you determine the number of visitors per day? Also, what other datasets are out there that you can be tying together with your data?

  2. You shouldn't be thinking about the business value of the data until you figure out what the data is telling you. This is where exploratory data analysis (EDA) comes in. You should explore your data and let the data speak to you (not the other way around!) so that you can be in a better position to think about your entire project.


Remember, the entire point of data science is to enable you to ask smarter questions. So, take the time to explore your data and figure what else you need. That will enable you to ask smarter questions and then declare some use cases for your business/client.






share|improve this answer









$endgroup$




















    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    Welcome to the site! In order to prevent from falling into common data science traps, I would encourage you to think about the following:




    1. You should never take data at face value. You should be thinking about the transforms that you could be doing to your data to get more insights. For example, from the fields you have, you can also determine the time in between visitors, right? Can you determine the number of visitors per day? Also, what other datasets are out there that you can be tying together with your data?

    2. You shouldn't be thinking about the business value of the data until you figure out what the data is telling you. This is where exploratory data analysis (EDA) comes in. You should explore your data and let the data speak to you (not the other way around!) so that you can be in a better position to think about your entire project.


    Remember, the entire point of data science is to enable you to ask smarter questions. So, take the time to explore your data and figure what else you need. That will enable you to ask smarter questions and then declare some use cases for your business/client.






    share|improve this answer









    $endgroup$


















      1












      $begingroup$

      Welcome to the site! In order to prevent from falling into common data science traps, I would encourage you to think about the following:




      1. You should never take data at face value. You should be thinking about the transforms that you could be doing to your data to get more insights. For example, from the fields you have, you can also determine the time in between visitors, right? Can you determine the number of visitors per day? Also, what other datasets are out there that you can be tying together with your data?

      2. You shouldn't be thinking about the business value of the data until you figure out what the data is telling you. This is where exploratory data analysis (EDA) comes in. You should explore your data and let the data speak to you (not the other way around!) so that you can be in a better position to think about your entire project.


      Remember, the entire point of data science is to enable you to ask smarter questions. So, take the time to explore your data and figure what else you need. That will enable you to ask smarter questions and then declare some use cases for your business/client.






      share|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        Welcome to the site! In order to prevent from falling into common data science traps, I would encourage you to think about the following:




        1. You should never take data at face value. You should be thinking about the transforms that you could be doing to your data to get more insights. For example, from the fields you have, you can also determine the time in between visitors, right? Can you determine the number of visitors per day? Also, what other datasets are out there that you can be tying together with your data?

        2. You shouldn't be thinking about the business value of the data until you figure out what the data is telling you. This is where exploratory data analysis (EDA) comes in. You should explore your data and let the data speak to you (not the other way around!) so that you can be in a better position to think about your entire project.


        Remember, the entire point of data science is to enable you to ask smarter questions. So, take the time to explore your data and figure what else you need. That will enable you to ask smarter questions and then declare some use cases for your business/client.






        share|improve this answer









        $endgroup$



        Welcome to the site! In order to prevent from falling into common data science traps, I would encourage you to think about the following:




        1. You should never take data at face value. You should be thinking about the transforms that you could be doing to your data to get more insights. For example, from the fields you have, you can also determine the time in between visitors, right? Can you determine the number of visitors per day? Also, what other datasets are out there that you can be tying together with your data?

        2. You shouldn't be thinking about the business value of the data until you figure out what the data is telling you. This is where exploratory data analysis (EDA) comes in. You should explore your data and let the data speak to you (not the other way around!) so that you can be in a better position to think about your entire project.


        Remember, the entire point of data science is to enable you to ask smarter questions. So, take the time to explore your data and figure what else you need. That will enable you to ask smarter questions and then declare some use cases for your business/client.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 2 days ago









        I_Play_With_DataI_Play_With_Data

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        1,187531















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