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 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
Whitepaper: New MapReduce Whitepaper
Webcast: Bringing Big Data Analytics to the Enterprise - 11/12, with Merv Adrian
Webinar: Service Oriented 'Analytics' - 11/19, with James Kobelius