COMMUNICATIONS AND MEDIA

Use Fast Data to Outpace the Market

DIFFERENTIATE YOUR SERVICES WITH REAL-TIME DATA AND INSIGHT

Communications and media companies play a central role in the digital revolution. Along with consolidation, convergence, and the explosive growth of connected devices, the industry works hard at offering integrated and content-driven solutions that differentiate them in the market. Striim enables communications and media companies to use up-to-date data across the enterprise, in transactional and analytical systems. With real-time, high-velocity data driving fast business insights, you can create new innovative services and manage the complexity of operations with automated, smart decisions. Streaming data integration supports digital transformation where you can meet your SLAs easily, minimize risks, assure revenue, and seize unique opportunities to improve customer experience.

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

  • Ensure high-performance network operations by uncovering emerging issues fast
  • Detect and prevent fraudulent activity, and minimize risks in revenue collection
  • Grow revenue via real-time, location-based offers using deep customer insights
  • Reduce customer churn via proactive outreach based on real-time behavior analysis
  • Offer new services using real-time insight from IoT data
  • Track digital audience engagement and revenue in real time
  • Comply with regulations including GDPR

WHY STRIIM FOR COMMUNICATIONS AND MEDIA

Communications and Media

Striim offers an end-to-end solution with real-time non-intrusive data ingestion from a wide variety of data sources, including sensors, stream processing, and continuous delivery to diverse cloud and on-premises targets to support time-sensitive operations and insights. With built-in data visualization, you can monitor your data pipeline’s health as well as the content of your business data.

Its intuitive wizards-based UI drives fast time-to-market and easy modification of applications you build on the platform. With a complete and enterprise-scale platform it meets the strict security, reliability, and scalability requirements of business-critical solutions.

MONITOR OPERATIONS IN REAL TIME
MONITOR OPERATIONS IN REAL TIME
Ensure high-quality service by collecting and analyzing real-time transaction and device data, and by predicting any performance drop to prevent SLA issues
PREVENT REVENUE LOSS
PREVENT REVENUE LOSS
Automate fraud detection and risk assessments for churn using real-time, multi-source correlation and monitoring of customer and transactional data
IMPROVE CUSTOMER EXPERIENCE
IMPROVE CUSTOMER EXPERIENCE
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

iBASIS

iBasis is a leading international voice carrier and provider of value-added services for mobile operators. The company uses Striim to monitor its network operations in real time to ensure the highest quality of network service to its customers and avoid costly network failures. iBasis replaced its ETL solution to be able to capture and monitor network data continuously.

Striim compares the network data stream with baseline thresholds to trigger warnings in real time. The company now ensures that VIP customers are not affected by any performance issue by re-distributing the network load automatically when Striim detects a non-self-correcting performance drop.

Communications and Media


Reduced cellular network data ingestion latency from hours to <5 minutes by moving to streaming data architecture


Analyzes the diagnostic data immediately to identify and resolve network issues before they cause expensive consequences


Easily meets SLAs for VIP customers via network load re-distribution as soon as Striim detects performance issues

Use Case Examples

MAKE YOUR FAST DATA WORK BETTER FOR YOU

Communications and Media

Striim supports telecommunications and media companies with a variety of use cases including:

  • Real-time data integration for cloud, Big Data, and Kafka
  • Zero downtime migration to cloud
  • Network health monitoring and failure prediction
  • Dynamic network congestion control
  • Fraud prevention and revenue assurance
  • Churn prediction and prevention
  • Proactive service outreach
  • Real-time revenue monitoring
  • Location-based advertising, and personalized offers
  • SLA monitoring and regulatory compliance including GDPR