Secondary data has already been collected by and readily available from other sources. It is cheaper and easier to obtain than primary data. It helps provide an understanding of the problem and allows for comparison of the primary data collected. Secondary data can also be used as study to determine if and where mistakes or deficiencies exist in either set of data.
Primary data is data which has been collected by yourself, which is more reliable and up to date. Secondary data has been collected from a secondary source (Other people, business etc.) so it may not be valid or up to date."Primary" and "secondary" are terms used to define data relative to the purpose by which the data were collected originally."Primary data" are data collected for the need at hand."Secondary data" are data that were collected for another reason but is being re-purposed to address the need at hand.When describing the expertise of data analysts, it is not uncommon to distinguish between primary and secondary data analytics. Primary data analytics involves the ability to analyze data for the purpose by which it has been collected. Secondary data analytics involves identifying "secondary data sources" to solve a new problem and then the ability to re-purpose that data.Primary data is a data which is created for the first time and there is no previous source available. Secondary data is a readily available data like data from trade directories,statistics from websites etc. In Dissertation Literature review is done through secondary data which includes the contents such as theories, models, compilation, research findings by some other scholar etc.
primary data is where you get o fact off a computer or from a book secondary data is where you get a fact of someone and it might not be true
Primary data is data that is collected by the researcher. Secondary data is information that has been collected by someone other than the user.
Primary data is the the data that collected by yourself. While secondary data is those collected by others and to be reused by yourself.
Secondary - unless it is something was published based on data that you yourself collected..
. Primary and Secondary data . Discrete and Continuous Data . Sample and Population Data
So you can backup your data if data loss occurs.
A secondary key is a field that is identified as being suitable for indexing the data such as a surname, It is used to sort the data in a different order to the primary key, A table can have many secondary keys in fact every field could be a secondary key. Hope this helps !
External secondary data - data that is obtained outside the firm itself.
Secondary data is a data collected by someone other than the user. Secondary data for social science include censuses and organizational records.
Primary data is data which has been collected by yourself, which is more reliable and up to date. Secondary data has been collected from a secondary source (Other people, business etc.) so it may not be valid or up to date."Primary" and "secondary" are terms used to define data relative to the purpose by which the data were collected originally."Primary data" are data collected for the need at hand."Secondary data" are data that were collected for another reason but is being re-purposed to address the need at hand.When describing the expertise of data analysts, it is not uncommon to distinguish between primary and secondary data analytics. Primary data analytics involves the ability to analyze data for the purpose by which it has been collected. Secondary data analytics involves identifying "secondary data sources" to solve a new problem and then the ability to re-purpose that data.Primary data is a data which is created for the first time and there is no previous source available. Secondary data is a readily available data like data from trade directories,statistics from websites etc. In Dissertation Literature review is done through secondary data which includes the contents such as theories, models, compilation, research findings by some other scholar etc.
Secondary data is data that was collected from someone else an already exists for a different purpose. Using secondary data is usually the easiest and cost effective way of gaining data for marketing.
Primary data is data which has been collected by yourself, which is more reliable and up to date. Secondary data has been collected from a secondary source (Other people, business etc.) so it may not be valid or up to date."Primary" and "secondary" are terms used to define data relative to the purpose by which the data were collected originally."Primary data" are data collected for the need at hand."Secondary data" are data that were collected for another reason but is being re-purposed to address the need at hand.When describing the expertise of data analysts, it is not uncommon to distinguish between primary and secondary data analytics. Primary data analytics involves the ability to analyze data for the purpose by which it has been collected. Secondary data analytics involves identifying "secondary data sources" to solve a new problem and then the ability to re-purpose that data.Primary data is a data which is created for the first time and there is no previous source available. Secondary data is a readily available data like data from trade directories,statistics from websites etc. In Dissertation Literature review is done through secondary data which includes the contents such as theories, models, compilation, research findings by some other scholar etc.
You can receive secondary data online from sources such as Censuses and qualitative research. You can learn more information about Secondary Data online at the Wikipedia.
Secondary data is data collected from other sources than your own such as reference books or the Internet.
The Device we can used to store data by the Computer,it is know as Storage Device.
primary data is where you get o fact off a computer or from a book secondary data is where you get a fact of someone and it might not be true