True Business Partnering starts when the FP&A community fully owns the numbers, completely agrees with them, and publicly endorses them.
Without a doubt, the effects of AI on the global economy are jaw-dropping. But how does that affect the FP&A sector? Do we need to worry about the rise of artificial intelligence?
Is your most fancied FP&A RPA initiative not delivering the anticipated benefits? You are not alone. So, what are the most common pitfalls? And more importantly, how can you sidestep them and increase your odds of a successful RPA implementation?
Machine Learning provides tremendous insight regarding market trends & business drivers. These factors include market propensity, consumer demand, economic factors, weather, & transportation costs. Many companies take these variables into consideration but provide limited or time-consuming analysis. This process limits corporate agility.
Disclaimer: Financial Modelling has no strict “right” or “wrong” method of application. It does, however, have forms of best practice and this what this article attempts to highlight
According to research conducted by the Hackett Group, the market for robotic process automation (RPA) is real and growing. It has the potential to change the business process outsourcing (BPO) landscape, global business services (GBS) organizations, and broader business-specific processes.