Predictive analysis and mitigation of risks in project management [video]

Author here, happy to answer any questions! Accompanying description for the video:

Together with Oxford Global Projects, we have built a family of forecasting models for S-curves using data from a total of 2,700 years of combined construction activity, with an aggregate cash flow of USD 60bn.

The S-curve in project management is a graphical representation that illustrates the cumulative progress of a project over time. It is called an "S-curve" because its characteristic shape resembles the letter "S": It starts slowly, accelerates, and then levels off.

Project delays and budget overruns are often linked with anomalies within the expenditure profile, like a sluggish burn rate or unexpectedly high spending towards anticipated project completion. Timely identification of these anomalies empowers proactive intervention to realign projects on the path to success.

This short video shows how we're modelling expenditure curves to enable many use cases, including spending projections, cost overruns and underruns, outlier analysis, and more.