Oracle, the global technology and cloud applications provider, has launched two AI-assisted analytics applications aimed at banks and insurers.
The tools are designed to shorten the gap between raw data and treasury and customer decisions, as institutions face mounting pressure to act on liquidity and profitability signals faster.
The new products, Oracle Financial Services Data Intelligence Treasury Analytics and Oracle Financial Services Data Intelligence Customer Analytics, are now available worldwide. Both draw on Oracle Analytics Cloud’s AI Assistant and Auto Insights features. Business users can type questions in plain language to produce charts and visualisations, while the system surfaces patterns in the underlying data automatically.
Oracle positions the launch as a response to a familiar operational problem. Lenders and insurers are being pushed to manage liquidity more tightly, control balance sheet risk, lift profitability and strengthen client relationships, all while markets shift quickly.
Fragmented reporting, manual analysis and conflicting data definitions often slow that work down. The two applications aim to give senior decision-makers a single analytical base for spotting trends and pinpointing what is driving performance changes.
The treasury product targets treasury, finance and risk heads. It brings liquidity, funding, cash flow, balance sheet results and market risk into one connected view. Users can probe funding and liquidity movements, examine anomalies and trace the factors behind shifts in balance sheet performance, using those findings to shape funding and liquidity choices.
The customer product focuses on profitability per client, product take-up, portfolio results and retention. It merges customer, product, channel, geographic, lifecycle and profitability data into one environment.
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