In making software-buying decisions, finance organizations are too focused on gaining efficiencies and not enough on future digital needs, says Gartner.
No matter how much data is fed to machine learning and predictive analytics tools, the key is deciding which outputs are useful and how to act on them.
Zebit extends credit to people who don't qualify for credit cards — and charges 0% interest. Can this business really work?
Traditional ERP implementations are increasingly giving way to full-blow digital transformation efforts.
Human minds alone are no longer a match for addressing business risk. But neither are machines alone.
Companies that are bold enough to embrace artificial intelligence will gain a big competitive advantage.
Analytics are now being used to predict the relative likelihood of different loss-producing events at a location.
Predictive analytics offers a better way of forecasting future probabilities and trends.
While no one can look into the future, a smart CFO can use predictive analytics to understand the market and use that insight to generate growth.
Advanced analytics drives customer experiences, growth and efficiency, and optimized action plans.
Advanced analytics goes beyond hindsight and insight, providing CFOs with the ability to see the future.
What can predictive analytics really accomplish? Here are six examples of how firms are forecasting future probabilities and trends.
