S5E115: Moving the Needle - The Project Data Analytics Hackathons with Martin Paver

<p>In this week’s pod, we welcomed back Martin Paver to discuss what’s been happening in the Project Data Analytics Hackathons Martin is the CEO and Founder of Projecting Success, a consultancy that specialises in leveraging project data to transform project delivery; from high end strategic consultancy through to apprentice training. He has led a $1bn megaproject and a multi $billion portfolio office. He is the founder of the Project Data Analytics community, comprising ~6,000 members who share a passion for leveraging the exhaust plume of project data. He regularly blogs and presents at international conferences, helping to ignite the professional imagination and inspire change.&nbsp;</p> <p>He is also the co-chair of the Project Data Analytics Task Force and is helping to lead the charge for disruptive change. The main topics we discussed on the podcast were as follows:&nbsp;</p> <p>· Many project professionals do not realise they are working with data but see it individual cost / schedule toolsets<br> · We need to think differently, too many projects have failed using the Prince 2 / APM methodologies<br> · 9,000 people are currently in the project data analytics community. We do not have enough data to back up the knowledge and skills of the individuals which will lead to better decisions<br> · Need to do more work to get the solutions adopted within organisations<br> · Data from construction companies will have an independent “steward” to monitor the usage of the information · Hackathons bring a variety of Project Professionals together to solve problems. The teams are made up of data analysts, project managers, students to ensure a diversity of thought<br> · The investment in data analytics has increased 100 fold in the last year · Change is happening. Some people will choose to not evolve their skillsets and risk becoming harder to employ · Jeff Bezos “I want people in my team who are right most of the time”. Data supports leaders to justify business decisions based on past performance · There needs to be