Despite the increasing prevalence of Agile software delivery methodologies and related Agile DevOps toolsets and processes – many projects still end in ‘failure’.
Indeed, according to a 2017 report from the Project Management Institute (PMI), 14% of IT projects ‘fail’ and a further 31 percent ‘didn’t meet their goals’. In addition, 43% ‘exceeded their initial budgets’, and 49% were ‘late’.
So how can delivery teams apply software delivery metrics and analytics to help diagnose the problem in a problem project and take steps to recover in flight?
