Two decades ago, the concept of 3D-printed concrete houses or offices seemed like science fiction. Today, however, massive 3D printers construct homes layer by layer with remarkable precision.
“All organizations are perfectly designed to get the results they are now getting. If we want different results, we must change the way we do things.” - Tom Northup
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.