Producing a survey and results adds a high level of complexity. There is a short timeframe so the use of surveys would not be feasible to undertake. There may not be enough data received to provide a robust answer. The data collected may not answer the problem if insubstantial questioning is used. Surveys need to comply with GDPR from a legal and moral perspective and comply with the Data Ethics Framework (2020) ensuring appropriate and responsible use of data. This would minimise risk of accidental or intentional bias occurring.

Pre-existing reports and the data provided may provide too much data as a collective issue which would be difficult to store and use easily. There is complexity in this as data would need to be cleaned to provide the specific aspects relevant to the project problem and bias minimised. Text-based reports would be difficult to produce visualisations from, unless the original datasets are accessible.

The appropriate approach would be using existing open-source datasets so there are no moral implications. As this data has been collected and cleaned, it minimises the time to be spent on preparing data. This will allow the project to be completed in a short timeframe. In terms of complexity, as we are building on pre-existing datasets, focus will be on data analysis and visualisation using Excel and Power BI.