RADCOM Analytics Designer Module (ADM) gives telecom operators a no-code way to build datasets, KPIs, KQIs, and alarms in real time, without waiting on vendor release cycles. Drawing on RADCOM ACE, network event data, and third-party feeds, operators can create KPIs and KQIs directly from raw data fields, apply filters and aggregations at any level of granularity, and deploy them across teams through a single, unified interface. Instead of requesting a vendor release each time they need a new metric or dimension, teams define exactly what they want to measure and deploy it to production the same day.
ADM also unifies real-time and historical analytics in a single environment, with built-in governance for the compute and storage costs associated with each new metric. That means an operator can define a KPI in the morning and immediately apply it to last month’s data, without needing to recreate it across separate analytics platforms. The result is faster insight, lower operational overhead, and full control over telecom network performance monitoring from a single place.
Subscriber records, DPI fields, signaling events, RAN counters, and core network performance metrics already exist across the network. RADCOM ADM transforms this data into actionable KPIs and KQIs that teams can use to optimize customer experience, assure services, and drive operational efficiency. Traditional KPI libraries were built for networks that changed infrequently. ADM is built for today’s dynamic environments, where 5G slices launch in days, SLAs evolve continuously, and new devices can reshape customer experience across entire regions. With ADM, operators move beyond consuming predefined metrics and gain the freedom to create analytics that reflect their unique business priorities.
RADCOM ADM gives operators complete control over their analytics layer and enables operators to:
Flexibility without governance creates complexity. Uncontrolled KPI creation can increase compute and storage consumption, particularly during peak periods or when multiple teams build metrics independently. ADM provides visibility into the expected cost of every KPI before it goes live, enabling operators to make informed decisions about activation, scaling, and optimization. By defining every KPI and KQI within a single environment and using a consistent data model, ADM ensures that teams across the organization work from the same source of truth, eliminating fragmentation, duplication, and conflicting metric definitions.
Many operators still manage real-time and historical analytics in separate systems: one platform for live monitoring and another for long-term analysis. RADCOM ADM unifies both. A KPI created today can be immediately applied to historical data without rebuilding it in a separate environment, enabling faster investigations, more accurate trend analysis, and consistent reporting across every use case.
ADM’s event normalization layer maps vendor-specific event names and data structures into a unified event language. Regardless of which vendor’s equipment generates the data, the same activity is represented consistently across the platform. This eliminates one of the industry’s most persistent challenges: translating and reconciling data across multi-vendor environments.
KPI definitions created in ADM extend across the entire RADCOM platform. Metrics built once in ADM flow seamlessly across RADCOM Network Analytics (NAM), AIM, and Neura, powering analytics, dashboards, anomaly detection, and AI agents from a single source of truth.
Build once. Use everywhere. Ensure every team and every application works from the same trusted data foundation.
