Reliable and Unreliable Data Sources

Reliable and Unreliable Data Sources

This is one of the most important aspects of data analysis which is why it is my first blog post.

Using an unreliable data source means that the accuracy of your data, and ultimately your results, will be compromised. You need to be very careful when choosing the correct data sources as even using the smallest amount of inaccurate data will magnify the inaccuracy when doing calculations with it.

Sites like Wikipedia can be edited by most users and therefore cannot be used as a trusted source.  The most reliable sources of data come from primary sources obtained by yourself or from accredited journals where everything is taken into account.  If you have to use other sources of information then the best sources to use are ones from higher educational establishments which get their data from a wide variety of sources.  It is most likely that in these sources, areas of uncertainty and inaccuracy will be stated.

In conclusion, it is very important to use accurate sources of data especially if it is for someone or a business. Try to use primary sources of data and remember that it is your neck on the line so make your work accurate and this should help you to gain a reputation as a good analyst.

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For more information on data reliability, click on the external links below

http://psc.dss.ucdavis.edu/sommerb/sommerdemo/intro/validity.htm

http://www.itl.nist.gov/div898/handbook/apr/section4/apr4.htm

http://www.auditorroles.org/files/toolkit/role2/Tool2aAustinCityAud_GuidanceTestingReliability.pdf

http://www.bbc.co.uk/schools/gcsebitesize/science/21c_pre_2011/materials/measuringpropertiesrev1.shtml

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