By periodically measuring and reporting uncompleted activities, it is easy to identify a build up of bow wave activities over time.
The Bow Wave Effect is measured by taking snapshots of time-phased data and reporting the activities scheduled to finish in each period. This practise provides actionable insights not only for individual projects, but also for programs and project portfolios.
Schedule Diagnostics Reports
Our charts contain a Description, Observations and Recommendations, which provide analysis context and suggested actions to mitigate risks associated with the observation.
Time-Phased Early Finish
This chart summarises early start activities scheduled to finish each month.
Actionable Data-Driven Insights
Microsoft Project schedule data is transformed using advanced analytics into actionable insights that empower decision makers to make better-informed decisions. ‘Time-Phased Early Finish’ analysis reflects organisation experience of always feeling busy and overworked which manifests itself in repeatedly failing to deliver projects on time.
This insight allows project organisations and professionals to determine the root-cause reason for this behaviour. In this wave, when the source of the problem(s) is uncovered and resolved the organisation can re-plan and schedule their projects accordingly.
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About Ian: I have more than 20-years IT Project Portfolio experience spanning vendor, solutions integrator and customer side both for private and government organisations. I have worked for Motorola, Ericsson, Vodafone, Dimension Data and Fujitsu amongst others. I am the principal of pminsight, a boutique consultancy specialising in empowering project organisations and professionals with project data-driven insights.