Top-Priorities-for-2020

Treasury and Trade Solutions 2 Reignite collaboration to digitize Widespread automation of operational treasury processes through the deployment of new tools and techniques is now generally expected. Companies with the appetite and capacity to go beyond the basics are best placed to take advantage. Treasurers, long curious about the potential of digitization, are now investigating, evaluating and experimenting with new technologies. Machine learning-enabled technologies, built on high quality aggregated datasets, offer the promise of greater automation, augmented decision-making and prescriptive analytics. As an example, this may resolve the age-old corporate treasury challenge of improving the effectiveness and efficiency of forecasting. To this end, several Citi clients are participating in collaborative experiments to leverage emerging digital tools that aggregate fractured datasets more effectively, recognize patterns to adjust liquidity predictions, and simulate next-best actions based on policies and risk appetite. Against this backdrop, treasurers should partner across their enterprise and collaborate with banks, technology providers, and fintechs. Collaboration is a priority if treasury is to stay abreast of emerging technologies, identify digitization opportunities, and secure the financial and human capital to realize the opportunity. Prescriptive Analytics Appetite Level of decision support automation currently in place Level of decision support automation expected by treasury to achieve in the next three years A: Descriptive Analytics (Static Reporting and Visualization) B: Diagnostic Analytics (Interactive Dashboards) C: Predictive Analytics (Machine Powered Forecasting) D: Prescriptive Analytics (Decision Support/Recommendations/Deal Determination) E: Artificial Intelligence (Decision Automation / Deal Execution) 61% 30% 13% 0% 2% 19% 52% 21% 15% 0% A B C D E Source: Citi Treasury Leadership Client Forum, November 2019