Solutions - Financial Services

EXTREME DATA PERFORMANCE

MEASURABLE VALUE

TRANSFORM DECISION MAKING

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Solutions

Data Integration Acceleration

Syncsort Sort Acceleration

Application Modernization

Hadoop Acceleration

Data Reduction / Deduplication

Server Virtualization

Disaster Recovery

P2V Migration

Rapid Recovery

Cloud Data Protection

Financial services organizations are struggling with exploding data volumes and demand for real-time access to data in their efforts to improve risk assessment, ensure compliance, secure data, and provide top customer service. That's why leading banks, investment firms and credit organizations count on Syncsort for data integration and data protection.

Syncsort benefits for Financial Services organizations:
Process large volumes of transactional data in smaller windows
Easily scale to address growing data volumes with commodity hardware
Seamlessly accelerate existing production data integration and data warehousing
Cost-effectively protect applications with a single solution for physical and virtual servers, for disk an tape/VTL
Dramatically reduce backup times
Reliably, rapidly recover data

Financial Services Solutions

> Simple, Integrated Proven
Data Protection
> DI Acceleration
> Clickstream DI
> Database Marketing
> Data Deduplication

Customer Successes

> Deutsche BKK
> Pink OTC
> Wachovia
> Global Financial Services Company

Products

> NetApp Syncsort Integrated Backup
> DMExpress Data Integration
> MFX Mainframe Processing

Here are a few examples of how Syncsort helps Financial Services organizations rethink the economics of data:

Wachovia cut processing elapsed time by 76% with Syncsort, reducing database loads from three weeks to five days.

Pink OTC Markets Inc., the company that operates the OTCQX and Pink Sheets over-the-counter equity marketplace, has slashed the time it takes to generate market reports from hours to seconds reducing hardware and programming costs.

A major international investment bank has alleviated nightly performance bottlenecks, successfully processing data 700% faster. As a result, the bank has reduced costs by running on Linux servers instead of on the mainframe and has eliminated the risk of missing SLAs, even as data volumes grow.