Enterprise Intelligence

In telecom, a common illusion is equating stack modernization with enterprise evolution. Billing and operations support systems (BSS/OSS) were upgraded, interfaces refreshed, and latency improved — yet the enterprise anatomy linking customer lifecycle, service orchestration, and network policy remained undefined.

Overview: In the telecom sector cases within our 100 US diagnostics, we see data infrastructure projects dressed up as EA milestones. Operators have built massive data lakes, ingesting terabytes from network devices, customer interactions, and billing systems. Annual reports frame these as architectural leaps. Yet without structure, governance, and shared semantics, the lakes became isolated silos — unable to support enterprise-wide decision-making. P1–P6 Insight Preview:  Th

Pilot slices were provisioned for enterprise clients, latency metrics looked impressive, and customer interest spiked — yet the enterprise structure linking product strategy, service orchestration, OSS/BSS integration, and lifecycle assurance was never modeled.

Service activation times improved, provisioning errors dropped, and internal teams could spin up test environments faster — yet the enterprise structure linking product catalog management, policy enforcement, billing, assurance, and partner integration was never modeled.

This was not a model of the telecom enterprise. It was a model of its IT landscape.