Improving project forecasting – A practical approach

Many projects are plagued by cost overruns and benefit shortfalls, this session analyses how tools (model and methodologies) developed by project scholars can be weaved together to improve forecasting in projects. Using Similarity Based Forecasting (SBF) and adapting it to the Systemic Lessons Learned Knowledge (SYLLK) model to capture project lessons, Pindy will present a study that will be building on the SYLLK model, focusing on project forecasting and providing a practical approach to planning using continuous improvement in project-based organisations.

This research is currently in progress and is based on an analytical case study approach using action research cycles, whereby action and changes are monitored and reviewed during the analysis of projects during forecasting and execution.