By: Fahri Kercek
Imagine a sudden, large-scale call setup failure in a busy, high-traffic urban area, affecting thousands of customers. The network sensors pick up the anomaly in milliseconds; customer complaints surge on social media. But the decision to act – to reroute traffic, adjust capacity, or notify affected customers - is stuck in siloed teams, and it takes hours, or even more. By the time the operations, customer care, and communications teams align on a response, the damage is done: customers are frustrated, and both reputation and revenue are at risk.
This is the latency paradox in modern telcos. While networks and customer interactions operate in real time, the organizational decision-making that supports them remains delayed, fragmented, and often reactive. The bottleneck is no longer the speed of execution, but the speed of decision. Telcos have a massive amount of data, and all the right tools to interpret it at the speed of light. Yet the time it takes to make a decision to act on it can, in many cases, feel like an eternity. This is not a data problem. It is a decision problem, and it undermines agility, customer trust, and competitive edge.
Over the past two decades, telcos have invested heavily in digital transformation, automating processes, digitalizing channels, and modernizing core systems. These efforts have undeniably revolutionized their operations and made execution faster and more scalable. Orders are processed in seconds, customer queries are resolved in minutes, and network adjustments are deployed with unprecedented precision.
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Yet, beneath the surface, the structures and processes that govern decision-making have remained largely unchanged. Organizational silos persist, governance layers add friction, and KPIs are
often misaligned across functions. The decision to act is still subject to manual approvals, cross-functional debates, and hierarchical sign-offs.
The result is a paradox: the faster the execution, the more glaring the latency in decision-making becomes. Automation has removed the friction from doing, but not from deciding. The industry has built highways for execution, only to find that the real traffic jam is at the decision “toll booth”.
Decision latency is the delay between the generation of a signal (a service failure, or a customer action), its interpretation (analytics, insight), and the moment a meaningful action is taken (a business or operational response). In most telcos, this delay is not measured in seconds, but in hours, or even days. This lag is not just a technical issue; it is a systemic one exacerbated by fragmented data, misaligned incentives, and disjointed interpretations across domains.