FINANCIAL SERVICES

Sharpen Risk Assessment and Grow Revenue

USE REAL-TIME DATA TO GAIN OPERATIONAL EXCELLENCE

Subject to many strict government regulations, global market influences, and fighting serious financial crimes, the financial services industry has tapped into streaming data architecture to reinvent their business operations and deliver better customer experience for profitable revenue growth. Striim enables banking and insurance companies to use up-to-date data across the business and facilitates time-sensitive intelligence. With Striim, you can ingest, process, and deliver data with sub-second latency to your analytics solutions to outsmart risks, ensure regulatory compliance, and seize unique opportunities to improve customer experience.

Using real-time, pre-processed data in your operational analytics solutions allows you to:

  • Respond to customer needs immediately and proactively
  • Minimize exposure using risk-based, real-time policy pricing
  • Detect and stop fraud, money laundering, other financial crimes in real time
  • Ensure regulatory compliance via real-time monitoring of global transactions
  • Grow revenue via real-time, targeted offers when customers engage
  • Streamline ATM operations via remote monitoring and predictive maintenance

WHY STRIIM FOR FINANCIAL SERVICES

Financial Services

Striim offers an end-to-end solution for real-time, non-intrusive data ingestion, stream processing, and continuous delivery to diverse targets to allow time-sensitive insights and automated response. As a single software platform, it enables you to modernize your data infrastructure with a streaming data architecture and supports key IT initiatives including the adoption of artificial intelligence, and internet of things (IoT) technologies. For example, Striim accelerates training your machine learning models with pre-processed data and applies the models to real-time operational events to allow automated, smart action. With a complete and enterprise-scale platform, it meets the strict security, reliability, and scalability requirements of financial services companies.

DISCOVER FINANCIAL CRIMES IMMEDIATELY
DISCOVER FINANCIAL CRIMES IMMEDIATELY
Identify potential fraud, money-laundering, and other crimes automatically using real-time, multi-source correlation and advanced analytics on all relevant data
ENSURE COMPLIANCE WITH REGULATIONS
ENSURE COMPLIANCE WITH REGULATIONS
Achieve fast GDPR compliance, automate compliance risk assessments with real-time, multi-source correlation and monitoring of customer and transactional data
GROW REVENUE FASTER AND PROFITABLY
GROW REVENUE FASTER AND PROFITABLY
Deliver a superior customer experience and offer the right products at the right time by analyzing multi-touch experience and proactively responding to real-time events
Customer Use Case

EUROPEAN RETAIL BANK

The leading retail bank in Europe uses Striim to detect and prevent ATM fraud and money laundering. The Striim platform analyzes ATM transaction data to monitor and alert “impossible distance” fraud by detecting transactions on multiple ATM devices within a short span of time. It also identifies potential money laundering cases by detecting when there is a maximum ATM withdrawal from one account and transfer the fund to another account, followed by maximum withdrawal from the latter account.

Financial Services


Significantly reduced losses caused by ATM fraud via immediate detection and action, and improved compliance with anti-money laundering laws while minimizing risk exposure


Achieved real-time visibility into the ATM activities across the country enhancing customer behavior analytics and targeted marketing campaigns


Easily sets up and modifies applications with multiple pre-defined criteria that indicate various fraudulent behaviors and money laundering activities

Use Case Examples

MAKE YOUR FAST DATA WORK BETTER FOR YOU

Financial Services

Streaming data integration with intelligence supports bankers and insurers with a variety of use cases including:

    • Real-time data integration for cloud, Big Data, and Kafka
    • Zero downtime migration to cloud
    • Fraud and cyber theft prevention
    • Anti-money laundering
    • Risk management and regulatory compliance, including GDPR
    • Real-time trade recommendations
    • ATM monitoring and predictive maintenance
    • Multi-channel transaction and agency performance monitoring
    • Usage-based insurance using telematics