Telecommunications providers face unique operational complexities that traditional monitoring can't solve
Massive telemetry volumes from network infrastructure, but teams can't identify which sources actually accelerate NOC/SOC investigations.
High-volume noisy logs consuming expensive premium ingest without contributing to detection or resolution capabilities.
Single points of failure in monitoring, alerting, and escalation creating major incident risks and poor visibility into network health.
Manual investigation processes and unclear escalation paths extending MTTR and impacting customer experience during outages.
Critical operational knowledge locked in individuals' heads, creating coordination failures during high-severity outages.
Need for long lookback windows for investigations without the cost of indexing everything in hot storage.
Transform network operations with intelligent data optimization and resilience automation
AI-driven telemetry optimization that identifies underutilized data sources, recommends high-impact investigations, and reduces monitoring costs by 40-60%
Comprehensive digital resilience assessment that identifies single points of failure, validates continuity plans, and reduces MTTR by 50-70% through automation.
Transform massive data volumes into actionable intelligence while cutting costs by 40-60%
Eliminate single points of failure and automate recovery for 50-70% faster incident resolution
Measurable outcomes that transform network operations and bottom-line performance
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Reduce MTTR by 50-70% and investigation time by 40-55% with AI-recommended dashboards, automated workflows, and real-time correlation.
Cut telemetry costs by 40-60% through intelligent DMX routing and achieve 70-85% storage savings with S3 archival strategies.
Demonstrate clear value of monitoring investments with executive dashboards, adoption metrics, and quantified operational improvements.
Identify and remediate single points of failure in monitoring, alerting, and escalation before they cause major incidents.
Achieve 99.95%+ network availability with validated continuity plans, automated recovery workflows, and 24/7 operational capability.
Eliminate tribal knowledge silos with formalized playbooks, documented runbooks, and cross-trained teams for crisis scenarios.
Schedule a free consultation with our telecommunications experts and discover how to reduce MTTR by 50-70% while cutting monitoring costs by 40-60%.
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bitsIO helps telecom operators reduce NOC and SOC workload, cut telemetry cost, and improve service availability across complex network estates. The work includes Splunk Observability Cloud, ITSI, datasensAI, and resilifyAI tuned for telecom operations.
Published bitsIO results for telecom include 40 to 60% telemetry cost savings, 50 to 70% MTTR reduction, and 99.95% availability targets. Actual outcomes depend on existing monitoring coverage, NOC maturity, and integration scope.
bitsIO designs unified NOC dashboards in Splunk that pull network telemetry, customer experience data, and security events together. This reduces context switching for NOC engineers and supports faster, evidence-based decisions during outages.
Yes. Splunk Observability Cloud and Splunk ITSI can ingest telemetry from RAN, core, transport, and OSS/BSS systems, surfacing performance issues across 5G and earlier generations. bitsIO designs these integrations to match each operator's network architecture.
datasensAI surfaces unused telemetry, identifies cost-saving opportunities in Splunk usage, and recommends use cases that put dormant data to work, including security analytics, customer experience monitoring, and capacity planning.
bitsIO designs Splunk Enterprise Security deployments tuned to telecom-specific threats such as SIM swap fraud, signaling attacks, supply chain compromise, and DDoS. SOAR playbooks automate the most repetitive parts of incident response for telecom SOC analysts.
Splunk usually complements rather than replaces dedicated assurance and probe-based monitoring tools, by ingesting their outputs alongside IT, security, and customer experience data. This gives operators a single source of truth without forcing them to remove existing telecom-specific tooling.
Yes. Splunk integrates with network probes, packet brokers, and signaling systems (including those monitoring SS7 and Diameter traffic) to bring this data alongside IT and security logs. This supports use cases including fraud detection, performance troubleshooting, and security monitoring.
Splunk correlates network performance signals with customer-facing data from BSS, customer care, and mobile app telemetry, letting operators see how network issues affect specific customer journeys. This is useful for both reducing churn-driving issues and prioritizing network investment.
Splunk provides visibility into 5G core, RAN, and network slice performance by ingesting telemetry from each layer. This supports slice-level SLA monitoring, security analysis, and troubleshooting that is much harder to do in tools designed for older network architectures.
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