
How do we rise to the challenge of a data-driven project management future?
In 2017 the Association for Project Management, Arup and University College London published a report on the future of project management.
In 2017 the Association for Project Management, Arup and University College London published a report on the future of project management.
Over the last 25 years I’ve encountered one persistent challenge: How do we identify, recruit and develop talent in project management and control disciplines? To say schools and universities aren’t producing “the right type” of skills and behaviours for the industry is looking in the wrong direction.
The demand for project professionals today is high and will continue to grow well into the future.
There are many reports about the potential impact of technology such as automation and artificial intelligence (AI) on the future of jobs.
This is the first in a monthly series of posts looking at the fundamentals of project management for anyone new to the profession or those considering entering it.
We are all familiar with the narrative ‘you must record lessons throughout a project lifecycle’, but the more I talk to professionals, the more I realise it’s often not done to the nth degree, and that it seems to be seen as a tick boxing exercising within the project closedown process rather than a meaningful, dynamic process that occurs throughout a project lifecycle.
When a project needs defining it is worth spending time reviewing stakeholders and their level of risk to your project.
This seems a foolish question to ask.
When I work with those new to project management a popular topic of discussion is why we need formal project management methods at all when we have spreadsheets and so many handy little apps to help us keep on top of our task lists.
The emergence of projects as the economic engine of our times has been quiet, but is incredibly disruptive and powerful.