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CTech L3 unit2 LO5.1 Fill in the Blanks: Understanding Internal Information Sources

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CTech L3 unit2 LO5.1 Fill in the Blanks: Understanding Internal Information Sources

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Test your knowledge on internal information sources and data types in organizations.

Creada por

Muhammad Asif
Muhammad Asif
Reino Unido

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CTech L3 unit2 LO5.1 Fill in the Blanks: Understanding Internal Information Sources
 

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CTech L3 unit2 LO5.1 Fill in the Blanks: Understanding Internal Information SourcesVersión en línea

Test your knowledge on internal information sources and data types in organizations.

por Muhammad Asif
1

transport sources Information types Internal organisation financial fleet data markets cost analysis reports sales

and source This is information that comes from within an . Examples include internal , such as the level of being made in different or the of running the of lorries ; or market , which is an internally produced report into how international and national markets are faring .

2

party External supplier lists price organisation information financial produced source third reports

. This is that comes from outside the . Examples include , which are lists of products and the price charged for them , and from a , which would have the same focus as internally financial reports , but would be produced by someone outside the organisation .

3

cinema counting females third males Examples buy party created observation Primary employees collect reports rather data

This is data that you , than from a . include that have been by , such as the result of a period of outside a , how many and went in .

4

others prices party results third Secondary information data factual different collected purpose organisation survey charged

This is data that has been by outside the . Examples include that have been collected for a organisation ( and usually for a different ) or provided by , such as the by an organisation .

5

measurement Qualitative opinion initiative difference organisation data quantitative

and data The fundamental between these is that quantitative data is data that has been gathered by , while qualitative is data that describes . An example of quantitative data would be the number of staff working in an , whereas qualitative data would be their about a new .

6

research success primary rival sources data shampoo manufacturer marketing sales accurate cheap secondary information

Purpose Different provide different types of data that suit different needs . For example , data can be a relatively way of gathering non - specific . If you needed to know how many people lived in a certain city , would involve many hours of research so you could simply use the results of somebody else ? s research . UNIT 2 GLOBAL INFORMATION However , secondary data is probably of limited use for really focused research . Imagine a wants to gather information on how many people would buy its new apple - scented shampoo . Secondary data may exist about figures for a ? s apple scented shampoo , but would that be enough as a gauge for the of the new product ? It may be a good starting point , but it would not be a wholly reliable source of data on which to base a and production policy .

 
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