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Predictive modeling: Task: Ambulance Demand Data Generating Process:   Dates of Coverage {Please identify the specific dates that will be used for this dataset in your modeling effort}   Frequency of data collection {how often is the data collected?  After every incident? Daily? Yearly?}   Agency / Organization collecting the data {who specifically is collecting the data?  Please avoid using general references like “government” or “police}   Original Unit of Analysis {What is the original unit of analysis for the data as provided?  Calls for service?  Census tracts? Cities?}   Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.}   Data Generation Description{here, I want you in your own words to describe how you think the data was generated.  Think 2-3 sentences.}   Data Collector{Who collects the data? A dispatcher?  A Census taker?}   Triggering Process{What triggers the data to be collected?  A call for service? A yearly survey process?}   Process Alignment{What system captures the data? Is it hand entered?  What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}

Predictive modeling: Task: Ambulance Demand Data Generating Process:   Dates of Coverage {Please identify the specific dates that will be used for this dataset in your modeling effort}   Frequency of data collection {how often is the data collected?  After every incident? Daily? Yearly?}   Agency / Organization collecting the data {who specifically is collecting the data?  Please avoid using general references like “government” or “police}   Original Unit of Analysis {What is the original unit of analysis for the data as provided?  Calls for service?  Census tracts? Cities?}   Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.}   Data Generation Description{here, I want you in your own words to describe how you think the data was generated.  Think 2-3 sentences.}   Data Collector{Who collects the data? A dispatcher?  A Census taker?}   Triggering Process{What triggers the data to be collected?  A call for service? A yearly survey process?}   Process Alignment{What system captures the data? Is it hand entered?  What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}

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Predictive modeling:

Task: Ambulance Demand

Data Generating Process:

 

Dates of Coverage {Please identify the specific dates that will be used for this dataset in your modeling effort}

 

Frequency of data collection {how often is the data collected?  After every incident? Daily? Yearly?}

 

Agency / Organization collecting the data {who specifically is collecting the data?  Please avoid using general references like “government” or “police}

 

Original Unit of Analysis {What is the original unit of analysis for the data as provided?  Calls for service?  Census tracts? Cities?}

 

Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.}

 

Data Generation Description{here, I want you in your own words to describe how you think the data was generated.  Think 2-3 sentences.}

 

Data Collector{Who collects the data? A dispatcher?  A Census taker?}

 

Triggering Process{What triggers the data to be collected?  A call for service? A yearly survey process?}

 

Process Alignment{What system captures the data? Is it hand entered?  What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}

 

 

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