Solutions

Our adaptable platform provides solutions for increasingly data intensive industry requirements, improving workflow efficiency while also keeping costs under control. This means solutions for all data types and specific industry applications. From security master and market data to the most complex risk and stress testing requirements, we’re constantly evolving to stay on top of what our clients need now – and what they will need next.

Alveo > Solutions

Reference Data Management Solutions:

Security setup and post-trade processing
Performance management
Portfolio accounting

Market Data Management Solutions:

Portfolio valuation (e.g. NAV and IPV)
Sensitivity measures
Scenario analysis

Risk Data Management Solutions:

Stress testing
FRTB market data management
Back testing

Financial Services Regulation Increases Demands on Data Volumes, Level of Detail and the Data Preparation Processes

The Fundamental review of the trading book (FRTB) requires fundamental changes to the banking industry’s market data management practices.

Market Risk, IPV and Trade Reporting Data Needs

Data Management for Operational Effectiveness

Financial services firms are first and foremost in the information processing business. Harnessing all required sources of financial content, integrating them and getting them into the hands of decision makers is increasingly critical.
Optimized Reference Data Management

Easy Access to Trusted Data is the Largest Untapped Productivity Improvement

The growth in data volumes and in data diversity coupled with increasingly data intensive jobs and reporting requirements mean firms need to improve their market data access and analytics capabilities.

Business User Enablement

PaSSPort

Quick access to the financial data you need, where, when and how you need it. PaSSPort is a managed data service that connects data sources to consumers.

PaSSPort

Data Quality Intelligence

Bring data management to the next level with intelligence to improve data quality, reduce data risks, increase operational efficiency and reduce cost, and to provide better data services overall to critical downstream applications.

Data Quality Intelligence