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Oracle Financial Services Analytics Applications from Oracle Financial Services
A suite of pre-built financial analytics applications that provide comprehensive financial performance management, risk management, and customer insight analytics for banks and financial institutions. Includes profitability management, funds transfer pricing, and asset liability management.
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Product analysis by function
Financial Performance Analytics for Analytics and Business Intelligence
Solutions for analyzing and reporting on the bank's financial performance across various dimensions.
More Financial Performance Analytics
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Data Integration
(9 Yes /9 Known /10 Possible features)
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Multi-source Data Connectivity Ability to connect to various data sources (e.g., core banking, CRM, ERP, external market data). |
Oracle Financial Services Analytics Applications connects to core banking, CRM, ERP, and external sources as part of its suite, as stated in product documentation. | |
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Real-time Data Ingestion Capability to ingest data as it is generated or updated, supporting up-to-the-minute analytics. |
Oracle emphasizes real-time analytics capability and up-to-minute data support in its financial and risk dashboards. | |
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Batch Data Processing Support Supports scheduled or on-demand data batch processing up to set intervals. |
Batch processing, including scheduled ETL, is standard in Oracle's Analytics Applications. | |
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Data Cleansing Tools Automated features for detecting, correcting, and standardizing raw banking data. |
Provides automated data cleansing and standardization as part of the ETL and analytics workflow. | |
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ETL (Extract, Transform, Load) Customization Allows custom ETL workflows to match bank’s business rules and requirements. |
The suite supports highly customizable ETL pipelines to match business rules. | |
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API Integrations Availability of APIs for direct data connections with third-party applications. |
Oracle supports robust API integrations for data access and analytics embedding. | |
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Data Mapping Flexibility Ability to map and reconcile fields from different systems to unified analytics data models. |
The platform's data integration layer allows flexible data mapping and reconciliation. | |
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Change Data Capture (CDC) Supports tracking and applying only changed data for efficiency. |
Change Data Capture support is available within Oracle Data Integrator, which underpins the analytics suite. | |
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Support for Unstructured Data Ability to process and analyze unstructured data (e.g., documents, emails). |
Support for unstructured data such as documents and emails is available through Oracle's data platform capabilities. | |
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Historical Data Loading Speed The speed at which the system can load historical data for analysis. |
No information available |
Financial Analytics & Metrics
(9 Yes /9 Known /10 Possible features)
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Profit and Loss Reporting Produces automated and customizable P&L statements. |
P&L reporting is a core part of financial performance management in Oracle's suite. | |
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Balance Sheet Analysis Facilitates detailed review of assets, liabilities, and equity over time. |
Balance sheet analysis is explicitly supported in product descriptions. | |
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Net Interest Margin Analysis Calculates and monitors net interest margins for lending operations. |
Net interest margin analytics included in lending/product profitability modules. | |
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Loan Performance Tracking Analyses metrics such as loan origination, repayment, delinquencies, NPL ratios. |
Loan origination, repayment, and NPL tracking metrics are referenced in the Loan Portfolio Analytics documentation. | |
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Revenue Attribution Traces sources of revenue to business units, products, or geographies. |
Revenue attribution to business lines and regions is cited as a core feature. | |
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Expense Analysis by Category Breaks down and visualizes cost structures and operational expenses. |
Oracle enables operational expense analysis with visual breakdowns. | |
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Liquidity Analytics Monitors liquidity coverage, available funds, and cash flow projections. |
Liquidity analysis, including cash flow projections, is a supported module. | |
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KPI Definition & Tracking Customizable calculation and monitoring of key performance indicators. |
KPI definition and tracking are customizable in Oracle's solution. | |
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Scenario & What-if Analysis Allows users to model financial performance under hypothetical scenarios. |
Scenario and 'what-if' analysis are stated capabilities of the analytics environment. | |
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Forecast Accuracy Measures the accuracy of built-in financial and risk forecasts. |
No information available |
Advanced Analytics and AI
(7 Yes /7 Known /8 Possible features)
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Predictive Analytics Uses statistical modeling to forecast future financial trends or risks. |
Predictive analytics and forecasting are advertised benefits of Oracle's applications. | |
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Anomaly Detection Detects aberrant financial behavior that may require investigation (e.g., fraud, misstatements). |
Fraud/anomaly detection is supported via advanced analytics modules. | |
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Customer Segmentation Identifies customer cohorts based on behaviors, demographics, or profitability. |
Customer segmentation available in Customer Insight analytics. | |
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Churn Prediction Predicts likelihood of customer attrition using historical data. |
Churn prediction and propensity models are part of data science capabilities. | |
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Automated Insights Generation System generates plain-language summaries of key financial analytics findings. |
No information available | |
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Model Explainability Provides transparency into machine learning model outputs. |
Oracle highlights explainable AI and transparency in machine learning outputs. | |
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Self-service ML Model Building Empowers analysts to build, train, and deploy machine learning models without coding. |
Provides tools for non-technical users to create and operationalize ML models (no-code ML). | |
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Time Series Forecasting Supports statistical or ML-based forecasting of financial time series. |
Supports time-series forecasting, as detailed in their ALM and risk modules. |
Dashboards and Visualization
(9 Yes /9 Known /9 Possible features)
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Customizable Dashboards Users can tailor visualizations and dashboards to their specific needs. |
Dashboards are highly customizable per Oracle's dashboarding environment. | |
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Drag-and-drop Visualization Builder Allows creation of visualizations without coding. |
Offers drag-and-drop dashboard and report building tools. | |
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Pre-built Templates for Banking KPIs Includes banking-specific dashboard layouts and widgets. |
Includes pre-built dashboard templates for financial institutions. | |
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Mobile-optimized Dashboards Ensures dashboards are accessible and usable on smartphones and tablets. |
Dashboards are optimized for desktop and mobile as stated in Oracle product datasheets. | |
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Data Drill-down/Drill-through Ability to interactively explore underlying details of charts and tables. |
Interactive drill-down and drill-through capabilities are supported. | |
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Scheduled Reporting Enables automatic distribution of reports/dashboards at set intervals. |
Supports scheduled, automated reporting distribution. | |
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Real-time Visual Updates Dashboards refresh automatically as underlying data changes. |
Real-time dashboard refresh is available. | |
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Export to PDF/Excel/CSV Formats Ability to export dashboards and reports for offline analysis. |
Reports and dashboards can be exported to standard formats (PDF, Excel, CSV). | |
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Embedded Analytics Allows analytics modules to be embedded into third-party applications (e.g., intranets). |
Oracle offers embedded analytics modules for integration into portals and other systems. |
Audit, Compliance & Regulatory
(7 Yes /7 Known /7 Possible features)
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Regulatory Reporting Templates Provides built-in templates for common banking regulatory submissions (e.g., Basel, IFRS). |
Regulatory reporting templates (Basel, IFRS, etc) are listed as key features in Oracle documentation. | |
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Audit Trail Support Tracks all data transformations, accesses, and changes for audit purposes. |
Includes detailed audit trails tracking all user activity and data changes. | |
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Role-based Access Controls Enables granular permission management according to user roles and compliance needs. |
Role-based and attribute-based access controls are core to Oracle's security framework. | |
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Data Retention Policy Enforcement Automatically enforces bank-mandated data retention and deletion rules. |
Supports data retention and deletion policies configurable for regulatory compliance. | |
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Secure Data Masking Sensitive data can be masked for privacy and access control. |
Oracle supports data masking for privacy and security purposes. | |
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Change Logging Logs all alterations to reports, analytics, and underlying data. |
Change logging on data, reports, and analytic workflows is available. | |
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GDPR and Data Privacy Support Features to ensure compliance with data privacy regulations. |
Source documentation includes privacy and EU GDPR support. |
User Management & Collaboration
(4 Yes /4 Known /7 Possible features)
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Multi-user Access Allows multiple users to simultaneously access and work on analytics. |
Multi-user support is built into the product, as is common for enterprise analytics suites. | |
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Permission Granularity Degree to which access can be controlled at the dashboard, report, or data level. |
No information available | |
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Shared Workspace Collaborative environments for analytics project teams. |
Team-based workspaces and collaboration are promoted features of Oracle's BI environment. | |
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In-application Comments and Discussion Ability to annotate reports or dashboards for collaborative review. |
There is support for report annotation and discussion within Oracle analytics modules. | |
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Task Assignments and Notifications Feature for assigning analytical review or approvals to specific users. |
No information available | |
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User Management APIs APIs to integrate or synchronize user access with other bank systems (e.g., Active Directory). |
No information available | |
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Single Sign-On (SSO) Support Integrates with corporate authentication systems for streamlined access. |
Single Sign-On (SSO) via SAML or LDAP is supported. |
Performance and Scalability
(2 Yes /2 Known /7 Possible features)
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Concurrent User Support Maximum number of users supported simultaneously without performance degradation. |
No information available | |
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Data Processing Throughput Amount of data the system can process in a given time. |
No information available | |
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Query Response Time Average time for analytics queries to return results. |
No information available | |
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Uptime/Availability Percentage of time the system operates and is accessible. |
No information available | |
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Elastic Scalability Can scale compute and storage up/down dynamically based on load. |
Oracle supports elastic compute and storage scaling in the cloud version. | |
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Distributed Processing Supports parallel, distributed computation for large data workloads. |
Leverages Oracle's distributed data and analytics engines for high scalability. | |
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Data Storage Capacity Maximum amount of analytical data the system can store. |
No information available |
Security
(4 Yes /4 Known /5 Possible features)
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End-to-end Encryption Uses encryption while data is stored and in transit. |
Product documentation details end-to-end encryption for data in transit and at rest. | |
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Multi-factor Authentication (MFA) Supports two-step verification and other MFA protocols. |
Supports MFA (Multi-Factor Authentication) in line with Oracle Cloud Security standards. | |
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Activity Monitoring & Alerts Logs user activities and sends alerts on potentially suspicious actions. |
Activity monitoring and alerting are built into Oracle's security suite. | |
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Penetration Testing Certifications Product regularly undergoes penetration testing, with results available. |
No information available | |
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Compliance Certifications Holds certifications such as SOC 2, PCI DSS relevant to banking operations. |
Oracle Analytics Cloud is SOC 2, PCI DSS, and ISO accredited. |
Deployment & Integration
(6 Yes /6 Known /6 Possible features)
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Deployment Options (Cloud/On-Premises/Hybrid) Can be deployed as per organizational policy or regulatory requirements. |
Deployable on cloud, on-premises, or hybrid as per Oracle's documentation. | |
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Integration with Existing BI Tools Supports interoperability with established business intelligence platforms. |
Integrates with popular BI tools (Oracle BI, Power BI, Tableau, etc). | |
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Custom Connectors Supplies or supports development of connectors to legacy or niche banking systems. |
Supports third-party and custom connectors; Oracle's integration architecture allows customization. | |
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Open API Support Provides APIs for programmatic access to functions and analytics. |
Detailed API documentation indicates open API support. | |
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Containerization Support Compatible with Docker/Kubernetes-style deployments for portability. |
Supports containerization (including Kubernetes and Docker) for deployment. | |
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Automated Upgrade Mechanisms Allows seamless updates with minimal user disruption. |
Automated, nearly seamless upgrades are a documented feature for the cloud deployment. |
Support, Training & Documentation
(6 Yes /6 Known /6 Possible features)
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24/7 Customer Support Availability Around-the-clock technical assistance for banks. |
24/7 support available for enterprise cloud customers. | |
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Dedicated Account Manager Appoints a dedicated representative for large or strategic clients. |
Dedicated account managers are provided for large/strategic clients. | |
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Comprehensive User Documentation Rich, regularly updated manuals and knowledge bases. |
Comprehensive, regularly updated documentation is highlighted in product support portal. | |
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Online Training Modules On-demand video or interactive training for bank staff. |
Self-paced and instructor-led online training is available. | |
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User Community Forum Active user community/support forum for product knowledge sharing. |
Oracle hosts an active user community and support forum. | |
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Custom Training Workshops Tailored, live training sessions delivered by vendor experts. |
Custom training workshops for clients are available on request. |
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