Streaming data scale
High-volume streaming environments need scalable data movement and processing foundations.
Telecom & Media
Telecom Media
Real-time data, analytics and infrastructure for high-volume digital platforms.
Streaming
Analytics
Alerting
Telecom & Media
real-time data → scalable service intelligence
Data lake deployment
Kafka streaming
Real-time analytics
Proactive alerting
Telecom & Media Problems
Where high-volume digital platforms create data and operating pressure.
Real-time filtering
Teams need faster filtering and processing to make live data usable.
Billing accuracy
Billing and usage data must be consistent, traceable and accurate at scale.
Real-time recommendations
Customer-facing platforms need timely recommendations from live or near-live signals.
Huge user data volume
Large user datasets create pressure on storage, processing, analytics and cost.
Monitoring and alerting gaps
Gaps in visibility delay detection, response and service delivery improvement.
Swipe problems
Relevant Solutions
Capabilities DataGridz connects to telecom and media transformation.
Data lake deployment
Build scalable data foundations for large-volume digital and telecom data.
Kafka streaming
Enable streaming pipelines for near-real-time movement and processing.
AWS platforms
Modernise cloud platforms to support scalable data, analytics and service workloads.
Real-time analytics
Turn fast-moving user and service data into timely insight.
Customer intelligence
Improve segmentation, engagement and recommendations using customer data.
Proactive alerting
Detect issues earlier and improve operational response across platforms.
Cloud migration
Move platforms with improved continuity, scalability and operational control.
Swipe solutions
Business Value
Business value for telecom, media and high-volume digital platforms.
Faster real-time insight
Teams can act faster on streaming, user and service data.
Improved billing accuracy
Usage, customer and service data becomes more consistent and traceable.
Better recommendations
Recommendation engines get better foundations from cleaner, faster data flows.
Stronger monitoring
Alerting and monitoring improvements help teams respond before issues escalate.
Scalable data foundations
Large-volume data can be handled with stronger storage, processing and analytics readiness.
Swipe value
Case Studies to Connect
Relevant proof for real-time, high-volume data platforms.
Telecom Indonesia
Datalake Deployment
Relevant proof for data lake deployment, large-volume data processing and analytics readiness.
Datalake deployment
Telecom India
Service Delivery
Relevant proof for service delivery visibility, monitoring, alerting and operational response.
Service delivery
Dailyhunt
Cloudera Implementation
Relevant proof for high-volume media analytics, real-time intelligence and recommendation readiness.
Cloudera implementation
Swipe proof