About Oracle Financial Services Analytics

Oracle Financial Services Analytics is a analytics software from Oracle that supports financial services institutions in data analysis and reporting. It includes features such as risk management analytics, regulatory compliance reporting, and customer profitability analysis so organizations can make informed decisions based on accurate financial data. This platform helps users analyze large volumes of financial data efficiently and provides actionable insights through advanced analytics tools. Additionally, it supports integration with existing financial systems for a comprehensive view. Key capabilities: risk modeling dashboard reporting regulatory compliance customer segmentation data visualization Best for: financial analysts and compliance officers that need to evaluate financial performance and ensure compliance with regulations.

Oracle Financial Services Analytics Details

Vendor
Oracle
Year Launched
1977
Location
Redwood City, California, USA
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, Turkish, Hindi
Users
Data Analysts, Financial Managers, Compliance Officers, Risk Managers, Governance Specialists
Industries Served
Financial Services, Banking, Insurance
Tags
Data Analysis, Data Governance, Data Management, Financial Management, Financial Reporting, Financial Risk Management, Financial Services, Governance, Risk & Compliance (GRC)

Oracle Financial Services Analytics's In-App Market Place

Does Oracle Financial Services Analytics have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

14

Mini Apps

1. Oracle Financial Services Analytical Applications: Pre-built applications for financial institutions to help manage financial performance

profitability analysis

risk management

and regulatory compliance.

2. Oracle Financial Services Data Foundation: Data management solution that provides a single source of truth for financial institutions by integrating data from multiple systems and sources.

3. Oracle Financial Services Balance Sheet Planning: Planning application that helps financial institutions forecast and analyze balance sheet performance

liquidity

and capital adequacy.

4. Oracle Financial Services Anti Money Laundering (AML) Express: Compliance solution that helps financial institutions detect

prevent

and report money laundering activities through advanced analytics and machine learning algorithms.

5. Oracle Financial Services Credit Risk Management: Risk management solution that helps financial institutions assess and monitor credit risk exposure to improve loan decision-making and portfolio management.

6. Oracle Financial Services Regulatory Reporting: Reporting solution that automates the regulatory reporting process for financial institutions

ensuring accurate and timely submissions to regulatory authorities.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (CHF), SEK (kr), INR (₹), SGD (S$), HKD (HK$), KRW (₩), BRL (R$), TRY (₺)

Pros & Cons

  • Comprehensive financial analytics for accurate reporting and decision-making
  • Advanced risk management tools to identify and mitigate potential risks
  • Enhanced data governance capabilities for ensuring data quality and compliance
  • Streamlined data management processes for improved efficiency and productivity
  • Integration with other Oracle financial solutions for seamless operations and data flow
  • Steep learning curve for new users
  • Complex setup and configuration process
  • Expensive licensing fees and ongoing costs
  • Limited customization options
  • Lack of integration with other software platforms
  • Limited customer support and documentation
  • Requires significant IT resources to maintain and support
  • Performance issues with large datasets
  • Lack of user-friendly interface for non-technical users

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