Unlocking Treasury Insights: Road Map to Intelligent Solutions
Abstract
In times of economic stress, with high inflation, increasing borrowing costs, and exchange rate volatility, tools for managing liquidity become paramount for the treasurer. How can banks deepen corporate client relationships through a renaissance for transaction data and reporting?
Celent research validates a trend over several years that better visibility into cash and cash forecasting remains a top priority for treasuries of all sizes. If anything, the current market conditions have increased its importance.
In response, several banks have implemented cashflow forecasting solutions using AI and ML to help corporate clients more accurately predict future account balances. However, one question is whether banks are developing solutions for forecasting as a means to more intelligent treasury solutions or as an end in itself. Celent believes that transaction data, when coupled with AI and interactive user experiences, remains an underutilized asset.
The value of information reporting and its associated data to treasury clients has never been in doubt, but it is often viewed by banks as being one of the staidest of transaction banking products. Bank-managed information reporting data will see a transforming renaissance in its value to corporate banking clients. This will not be merely through tweaks to report functionality but a recognition that the underlying components of IR are the main building blocks for “intelligent solutions” that enable a more advisory treasury relationship.
These intelligent solutions are a new generation of client applications and experiences, where the drivers of advanced data capabilities and data science converge with the application road map and industrial-grade software engineering. These applications must perform reliably at scale and are the next step in the delivery of intelligent treasury products and services based on information, insights, and predictive analytics.
Banks must think beyond current state information reporting and reconciliation solutions, and consider transaction data as the raw material of banking to be commercialized through a variety of solutions, insights, and experiences.
This is the first report in a series of two.