Financial Services
Financial markets are a battle of numbers. The recent economic crisis has reinforced the need for updating practices and systems for risk management, fraud analysis and compliance. The shifting landscape is an opportunity to capture market share by storing and analyzing more data on an inexpensive hardware infrastructure.
Aster Data provides the data loading and analytic horsepower required on a massive scale for applications such as:
- Risk analysis and reporting – meet daily reporting pressures for internal stakeholders and regulators.
- Fraud analytic engines – improve the accuracy and cycle time of fraud analysis.
- Trade surveillance – perform complex analyses across millions/billions of trades for daily regulatory compliance, integrity monitoring and risk management.
Common data analytics challenges in financial services:
| Business Issue | Technical Causes |
| Increased need for individual-level credit/risk analysis | Scaling, Query Performance |
| Shrinking processing windows for data consolidation and reporting roll-up | Data Loading, Query Performance |
| Historical data retention policies increasing | Data Growth and Administration |
| Takes too long to update credit scoring and risk assessment models | Loading Performance, Query Performance |
Top Picks
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Whitepaper: A New Approach for Large-Scale Data Management and Data Analysis |
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Whitepaper: Deriving Deep Insights from Large Datasets |
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Solution Brief:
Ultra-fast Risk Analytics and Data Processing |
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Forrester Report: In-Database Analytics: The Heart of the Predictive Enterprise |
