Managing a single project can be challenging, but juggling a portfolio of projects demands a robust, multi-faceted approach. Your team requires an effective structure, while stakeholders demand a clear view of outcomes. So, how do you help your project leaders achieve them?
PricewaterhouseCoopers (PwC) unveils a startling fact: 20% of 10,000 projects fail to achieve half their intended goals. Gartner amplifies this concern, noting that 51% of projects fail to meet their targets, while KPMG reports an alarming 50-60% project failure rate.
Isn't it amazing how a few clicks can revolutionize workflows? If you are handling multiple projects simultaneously, automation in project management should be at the core of your strategy.
According to a whitepaper from IDC and IBM, businesses with predictive analytics show a return on investment (ROI) of around 250%. The statistics highlight why many businesses are embracing predictive modeling to outpace their competitors.
A few weeks ago in Atlanta, GA, PMI’s Global Summit boasted many presentations and discussions around how Artificial Intelligence will shape projects … and project managers … in the near future. Nearly everyone I met had AI on their minds, some with delight—others with trepidation.
Are you seeking methods to enhance the decision-making of your project leaders? Predictive analytics techniques can assist in achieving this goal by providing a deeper comprehension of your data. How? Let's get into a more comprehensive understanding of this concept.
