d diversity of size, caseload, practice priorities, organisational structures, data strategy and systems responsibility. There’s no “one size fits all” approach to LA data work; economies of scale do exist, but always incur some local tailoring. Summary of key insights / initial impressions Appendix: Chart 11 – Detailed Outcomes Breakdown Green shows the scores for the question on importance of outcomes, orange shows the scores for the question on effectiveness on current reporting of the outcomes. The bar chart shows the average score and the scatterplot shows individual scores. The scatterplot is jittered so the score density is visible. Appendix: Chart 12 – Detailed Outcomes Breakdown Green shows the scores for the question on importance of outcomes, orange shows the scores for the question on effectiveness on current reporting of the outcomes. The bar chart shows the average score and the scatterplot shows individual scores. The scatterplot is jittered so the score density is visible. Appendix: Chart 13 – Detailed Outcomes Breakdown Green shows the scores for the question on importance of outcomes, orange shows the scores for the question on effectiveness on current reporting of the outcomes. The bar chart shows the average score and the scatterplot shows individual scores. The scatterplot is jittered so the score density is visible. Useful links • Data to Insight website: https://www.datatoinsight.org/ • Email: datatoinsight.enquiries@gmail.com • Questionnaire about this session: https://forms.office.com/e/3f2cAHLibK • To allow collaboration, continuous integration and publish the project, we’re using Github. The repository is available either indirectly through data-to-insight (github.com) or direct data-to-insight.github.io/ssd-data-model/. Continuous integration