S6E126: Project Hack15: An Approach to effective Risk Management with Russell Willis & Johnny Hepworth

<p>In this week’s pod, we welcomed Russell Willis and Johnny Hepworth to discuss their project from Project Hack 15 – How good is my team at Risk Management?Russell is an infinite Learner with 20+ years of experience in Project Controls, PMO, Data Analytics and Business Intelligence. He now specialises in the catalisation of all these fields into a holistically cohesive and coherent source for dynamic data driven insight and business optimisation.Johnny’s academic background is material chemistry for renewable energy and environment. He works for Brook Green Supply which operates in the L&amp;C space and excited for the prospects of industry 4.0.The main topics we discussed on the podcast were as follows:</p> <ul> <li>The Johnny &amp; the Beards project team were formed at Project Hack 15 – see links below for more information</li> <li>Project Hack ensured that project challenge teams had a diverse range of backgrounds in order to make it effective</li> <li>People become data aware, then informed, then gradually literate</li> <li>Data is powerful, though people should be vigilant on cookies that track internet movements</li> <li>If you’re not sure where to start with data just give it a try!</li> </ul> <p>Here are links to some of the topics we discussed:</p> <ul> <li>Project Hack 15 - <a href="https://www.projectdataanalytics.co.uk/projecthack/" rel="noreferrer noopener" target="_blank">https://www.projectdataanalytics.co.uk/projecthack/</a></li> <li>Project Hack 15 – Johnny &amp; The Beards Team Presentation - <a href="https://youtu.be/RppbJJsOSgU" rel="noreferrer noopener" target="_blank">https://youtu.be/RppbJJsOSgU</a></li> <li>Project Data Analytics Apprenticeship - <a href="https://projectingsuccess.co.uk/project-data-analytics-apprenticeship/" rel="noreferrer noopener" target="_blank">https://projectingsuccess.co.uk/project-data-analytics-apprenticeship/</a></li> <li>Brier Score - measures the accuracy of <a href="https://en.wikipedia.org/wiki/Probabilistic_classification" rel="noreferrer no