This document outlines the agenda and objectives for a learning analytics conference for further education and skills. The objectives are to: 1) Prioritize user stories for predicting student failure or underachievement and identify other areas of interest. 2) Identify and prioritize the data sources and systems that need to be integrated, such as student information, the VLE, attendance data, and library information. This includes systems like BKSB. 3) Establish a reference group. The agenda includes presentations on defining learning analytics and related projects. It also outlines the types of student data available, such as demographics, prior attainment, progress, and attendance. External data sources like labor market information and outcomes