Understanding ways to improve work performance is crucial for tech leaders and CIOs aiming to drive organizational success. Often, employees only consider their work performance during annual evaluations.
Did you know by 2029, the enterprise risk management market is set to surge, reaching a staggering USD 6.20 billion at a steady growth rate of 5.04%?
How can organizations hope to stay ahead when disruption lurks around every corner, ready to render them obsolete at a moment's notice?
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.
Would it astonish you that 70% of executives lack the insight to foresee emerging risks effectively?
In a recent blog on the PM College site, I rounded up a series of articles I’d read recently in the business press, all of which focused on a similar theme: that AI will help us to grow in essentially human skills...
Effective organizational leadership is the foundation for a company’s success. Chief information officers (CIOs), chief executive officers (CEOs), and other C-suite executives play a pivotal role in guiding and directing individuals and groups within their organization.
While the power of data is undeniable, the buzzwords "big data knows everything" and "data is the new oil" often overshadow the practical challenges faced by businesses when it comes to data-driven decision-making.