Why Data Silos Are Killing Telco Innovation (And How to Break Them)
- designkenmei
- Jun 19
- 4 min read
Updated: Jun 23

You don’t manage one network. Telecom operators and CSPs often manage dozens (and most don’t talk to each other).
Disconnected systems across Core, RAN, and Transport domains significantly burden mobile operators. Worse yet, each tells only part of the story:
The RAN team has no view into transport latency.
The transport team can’t diagnose device-level interference.
And most operators rely on fragmented dashboards that provide "partial insight" at best.
According to TM Forum, CSPs are already investing billions of dollars in analytics and monitoring platforms. Yet many still operate blind to cross-domain root causes. Most believe they have visibility when really, they only see isolated signals.
To communicate the full extent of these problems, we'll begin by examining network fragmentation. Later, we'll discuss how a data fabric solves fundamental issues in these environments and opens doors to much more.
The Real Cost of Fragmentation
Data silos slow growth because of costly, compounding inefficiencies that worsen with time. In most cases, innovation eventually slows to a halt.
Each domain within the network often requires a separate integration effort, even for similar use cases. Further, any additional technologies often require custom development. This repetition drains time and resources.

Without a unified view, teams struggle to track KPIs across domains, or correlate with BSS data. Valuable data work ends up trapped in single-purpose pipelines, offering little reusability.
Meanwhile, compute and storage are wasted maintaining isolated systems that rarely scale efficiently.
During this time, problematic areas linger or decay because of waning confidence in outcomes.
As such, silos will continue rising costs while impacting innovation, service quality, and returns for CSPs.
Why Telcos Struggle to Break Silos
Overcoming fragmentation is difficult because each data source speaks its own language. Integrations often must be built from the ground up for each new use case because of differences across domains, RATs, and vendors.
Without a unified data model, cross-functional data can't activate.
There’s no shared structure to connect sources, translate data, or support deeper analysis. This means siloed configurations simply can't generate cross-domain insights. Nor can they scale successful use cases across the network.

Simply put: silos make every initiative costly.
Teams spend more time stitching data together than driving outcomes.
Innovation slows, and the return on analytics drops.
Eventually, efforts shift from improving quality to merely maintaining it.
Until the structure changes, data falls tragically short of its full potential.
A Smarter Foundation: The Telco Fabric
To break free from silos, leading CSPs are investing in data fabric for their networks.
Our Telco Fabric serves as the data fabric that radically improves provider networks.
It's similar to the nervous system of a healthy living being. It acts as a hub for networks by connecting, contextualizing, and activating data across all domains.
It combines data from RAN, Core, Transport, OSS, and external sources for optimal information sharing in a network. Once connected, it syncs data, applies context, and prepares information for real-time use.

This means teams won’t need to start from zero for each project.
Our Telco Fabric means they can access ready-to-use data from a single, consistent source. This speeds up analysis, automation, and decision-making across use cases.
By improving data flow, Kenmei's Telco Fabric lays the groundwork for innovation. This allows networks to accommodate new AI agents easily and support closed-loop automation.
It enriches every layer with ready-to-use data and the intelligence needed to perform better.
Creating a Model
Creating a useful AI model starts with consistent, high-quality data. Once structured, the model defines how data acts in scenarios like anomaly detection or expansion planning.

The Telco Fabric handles ingestion, decoding, enrichment, and alignment. This means teams can focus on defining the logic, not fixing pipelines or building tedious connectors.
These portable and reusable models give teams a faster way to scale automation across domains. Further, models built on this foundation are easy to audit, adapt, and reuse across environments.
What It Looks Like in Action:
Multi-source ingestion: From PM counters and call traces to alarms and geolocation, all processed in a common landing zone.
Semantic layer with AI-ready metadata: Linked data elements enable advanced queries like “Which cells in Stadium A show uplink issues during concerts?”
Real-time quality checks: Anomaly detection and schema validation at ingest—no more garbage in, garbage out.
Open to all tools: Once in the fabric, data can be consumed via Power BI, BigQuery, Python, or various AI agents.
Real-World Impact
A European CSP recently adopted Kenmei’s Telco Fabric to accelerate cross-domain diagnostics.
Before, correlating RAN throughput with transport errors took 2–3 days per incident. Now, AI agents deliver root-cause hypotheses in under 10 minutes, complete with charts and summaries.
Even better: reusable data flows meant new use cases. This allowed both 5G stadium optimization and EN-DC troubleshooting to launch in a third of the time.
The Kenmei Difference
Kenmei’s approach addresses telecom network realities intelligently with forward-thinking solutions.
Kenmei’s Telco Fabric is designed specifically for mobile operators.
Our platform is cloud-based, telco-native, and built to work seamlessly across multiple technologies. The Telco Fabric allows us to interconnect RATs, vendors, and domain, eliminating costly silos.

We design for portability and reusability, allowing data to support many use cases. This means smarter networks and no more starting from zero for each new integration.
It’s the operational foundation for an autonomous telco network.
Be Done With Expensive, Inflexible Data Silos
As 5G networks expand and new services emerge, Telcos can’t afford fragmented visibility.
Both ETSI ZSM and TM Forum’s ODA call for unified, automated operations; and both assume a data fabric underneath.
With unified data, automation accelerates, analytics improve, and AI becomes deployable at scale.
The right architecture changes everything.
And once the data is unified, everything gets easier.
Ready to See It in Action?
Want to learn how leading operators accelerate time-to-value and cut operational costs with a smarter data core?