Understand how to organise and evaluate data that has been researched.
1.1 Describe the purpose and benefits of organising data so that it can be analysed.
The purpose and benefits of organising data so that it can be analysed as you will be turning this data into information. Data is commonly known as information which is lacking meaning, therefore it cannot be analysed easily, however information is much more meaningful. We can filter the data and use it as needed which saves time scrolling through lots of unnecessary data. The benefits of organising data are that is can be easier to read and to understand. It also makes it quicker to find the information you need from it.
1.2 Explain how to evaluate the relevance, validity and reliability of data
To evaluate the relevance of data you need to go back to why you gathered the data initially. If your end results answers the question then you know that you have compiled relevant data. To evaluate the validity and reliability of the data you can compare it to your own personal knowledge and expectations or someone else’s in the team. Alternatively, you can see if any of the information has ever been gathered before and if so, do the results follow a similar pattern?
1.3 Explain how to analyse and prepare researched data so results will be accurate and free from bias
To analyse and prepare researched data so the results will be accurate and free from bias you can be self-critical of the data asking yourself whether it reflects the reality or not. Also, you could have a co-worker work on the same query and see if the outcomes are alike. If there are different then you will know that one of the outcomes is inaccurate and slightly biased. Depending on the different types of information, you want to ensure that the data isn’t anonymous as you have no guarantee that it is accurate and free from bias. Also, depending on the type of information, you want to make sure it is in no way...
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