Telecom operators are sitting on one of the most valuable data sets in the digital economy. Every session, slice, signaling event, and subscriber interaction generates intelligence that, in theory, can fund smarter networks, sharper customer experiences, and entirely new revenue streams. Data is the operator’s currency.
Across the industry, however, that currency is surprisingly hard to spend. Operators already collect everything they need, such as subscriber records, DPI fields, signaling events, RAN counters, and core-side performance metrics. Most of it is never spent on decisions that move the business forward. In essence, the gap isn’t in the data, it’s in the layer that sits on top of it. Current platforms surface only a fixed slice as pre-built KPIs; anything beyond that slice requires a vendor ticket, a software release cycle, or a parallel tool to stitch the answers together. The data is there. The problem is that the operator must decide in advance which questions to ask.
Pre-built KPIs were originally designed for a network that didn’t change very often. Today, new 5G slices can be commissioned for an enterprise customer in days, or a new SLA can be introduced for a single segment. A new device type can shift the experience curve for a whole region, and new roaming partner agreements can flip cross-border traffic baselines overnight. Each of these creates questions that the off-the-shelf KPI library was never built to answer.
Why pre-built KPIs can’t keep pace
For operators, this dilemma is all too familiar. For example, the network team needs a view of the video stall rate for subscribers on a specific slice – only during peak hours, broken down by device type. Unfortunately, that KPI wasn’t included in the current installation, so the team needs to open a vendor ticket or wait for the next release window. In the meantime, the call gets made without the data, and the customer experience pays the price.
Closing that gap requires a different starting point. Operators need to be able to define the KPI they need, from the raw fields they already collect, in real time, without waiting for anyone else.
Defining the KPI you need, in real time
This is what the recently launched, RADCOM Analytics Designer Module (ADM) is RADCOM’s analytics designer environment, built so operators can compose, govern, and act on any KPI from the raw data they already collect. Instead of being locked into a fixed set of pre-built metrics, the operator can use the tool to assemble a new KPI from raw fields, filter it by any condition, and aggregate it at the granularity that matters, all from an intuitive user interface (UI). The data schema itself can be designed in the same place. Powering ADM is RADCOM RASE (Real-time Adaptive Streaming Engine), a new real-time analytics engine that combines dynamic aggregation with resolution as fine as ten seconds. KPIs update live as the subscriber experience unfolds, so operators act on what is happening on the network now, not on a report from an hour ago.
RADCOM is changing the premise, from accepting a vendor’s view of the network to empowering operators to define their own. A network engineer can compose a metric for a specific slice in minutes, while a care team can correlate a customer complaint against the exact service interaction as it unfolds. Neither requires a new software release.
RADCOM ADM also supports KQIs that combine multiple underlying KPIs into a single, business-readable indicator. Operators can translate network data into business metrics that matter to C-suite executives, including service quality, customer experience, and SLA adherence.
Knowing the cost before you spend
Another challenge RADCOM ADM addresses is balancing flexibility with governance. Empowering every team to create new KPIs from raw data can be powerful, but without guardrails, that flexibility can quickly become a liability. Uncontrolled KPI creation can quietly consume compute and storage resources, especially during peak periods or when multiple teams generate metrics simultaneously. As the platform aggregates, processes, and stores new data streams in real time, effective governance ensures resources remain optimized and performance stays consistent.
RADCOM ADM surfaces the cost of a new KPI before it goes live. Operators can see the impact on available resources up front and decide whether to activate, scale, or refine the metric. The currency analogy holds: operators see the price tag before they decide to spend.
One pane for real-time and historical
A key advantage of RADCOM ADM is that KPIs and KQIs are defined within a single environment using a consistent model, ensuring that the same metric means the same thing across teams and tools. This consistency is critical when analytics span both real-time and historical data, yet many operators still rely on disconnected environments: one for real-time network performance monitoring and another for analyzing historical trends. The result is fragmented insights and duplicated effort. RADCOM ADM unifies both, enabling teams to define a KPI once and apply it consistently across live and historical data.
That consistency also reaches across vendors. ADM’s event-normalization layer maps different vendors’ event names and structures into a single unified event language, so the same activity reads the same way regardless of which vendor’s equipment generated it. This is a long-standing operator pain point and a genuine differentiator.
The definition furthermore travels across the platform. A KPI built RADCOM ADM flows through the RADCOM Network Analytics Module (NAM), RADCOM Automated Insights Module (AIM), RADCOM NetTalkTM and RADCOM Neura without re-stitching, so the same metric powers analytics, dashboards, anomaly detection, and the AI agents off a single source of truth.
Turning currency into compounding value
Telecom data has been called the operator’s most strategic currency for years. The reason it has been so hard to spend isn’t the data, it’s the layer between the data and the decision. RADCOM ADM closes that gap, turning the data operators already collect into something they can now deploy against the business.
Meet us at DTW in Copenhagen to see RADCOM ADM in action and how it fits alongside RADCOM’s ACE Assurance platform.
