<a href="https://www.oracle.com/uk/" rel="nofollow noopener" target=”_blank”>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. Oracle says this cuts the manual effort of matching records across customer, ledger, cost management, treasury and risk systems, and helps teams investigate where growth and retention opportunities sit.
Both tools sit within Oracle Financial Services Data Intelligence, a suite of platforms and ready-built applications that consolidate financial, risk and operational data for AI-supported analysis. Because the suite runs on analytics-ready data models and existing Oracle applications, institutions can build on their current data investments and roll out specific analytics use cases more quickly.
The applications also work alongside on-premises Oracle Financial Services Analytical Applications (OFSAA) deployments. Existing OFSAA clients can shift their analytics to the cloud without switching off the on-premises systems they already run.
Oracle Financial Services senior vice president, product management Jason Wynne said, “Financial institutions don’t need more dashboards—they need faster answers they can trust. With Oracle Financial Services Data Intelligence Treasury Analytics and Customer Analytics, we’re combining curated financial services data with conversational AI and automated insight discovery to help customers explore business performance and use those insights to inform their decisions.
“Together, these applications establish a foundation for continued AI innovation across Oracle Financial Services, with the goal of making insights more accessible and relevant to financial services teams.”
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