Analyse and Report Data 1

Analyse and Report Data
1. Understand how to organise and evaluate data that has been researched.

1.1 Describe purpose and benefits of organising data so that it can be analysed.
Organising your data gives you the information required to make a report on the findings. Finding out how your brand is working, what needs to improved? Using Google Analytics at work enables me to follow our brand with the ROI and track all our social networking sites. Many analysts will go further into the data to find more detailed information.
1.2 Explain how to evaluate the relevance, validity and reliability of data.
You need to revert back to the beginning of why you wanted to record that data and does it relate to the outcomes in relation to your aims and objectives. Validity is ensuring that it is recording all data up to date and there is no breaks in the data. Reliability is making sure that all your data is correct and the information gained is from a reliable source for reporting.
1.3 Explain how to analyse and prepare researched data so results will be accurate and free from bias.

To analyse data so that results will be accurate is to get a second opinion on check the data. This makes sure the data was inputted correctly and the figures haven’t been altered to produce a different outcome.

1.4 Explain the differences between primary and secondary research methods.

Primary research involves gathering fresh information from your own sources such as interviews, surveys or evaluation.
Secondary research is data gathered by a third party e.g published research, newspaper articles or other media. Sometimes secondary data can cite both primary and secondary data.

1.5 Explain the differences between quantitative and qualitative.

Quantitative data assumes a fixed and measurable reality; e.g information that can be measured and written down with numbers. It is analysed through numerical comparisons and statistical implications.
Qualitative data assumes a dynamic and negotiated reality; information that can’t actually be measured but is written down as a report.
The main differences between quantitative and qualitative research consist in respect to data sample, data collection, data analysis and regard to the outcomes.
1.6 Describe how to search for relevant data sources
Original – make sure your data comes from a primary source.
Comprehensive – the data must contain enough information to get the full report.
Current – always use up to date data and not something that was collected years ago.
Reliable – verify that the source is relevant, legitimate, and as unbiased as possible.