Step 3: Data analysis

Step 3 concludes the SCA method with a data analysis part, following the data collection and processing steps.

Goal: Finalise the sector understanding and generate insights on the status of closed material loops and harmful resource use, to communicate it and ultimately to find ways to translate these data into sources of information for policy making and monitoring.

Approach: The processed information, in its standardised data format, maps and visualisation, are taken, transformed into output, such as visualisations and indicators and then studied to generate insights. A number of different aspects have to be analysed in this step and guiding questions are used for facilitation, for each of the parts:

• Generation of Sankey diagram
• Selection and calculation of indicators
• Generation of insights
  • Insights from Sankey diagram
  • Insights from single datasets
  • Insights from data quality assessment
  • Insights from indicators
• (SCA Report)