Data Driven Success —
From fragmented data
to AI leadership.
Telecom operators leverage vast amounts of customer, network, and service data to optimize operations, personalize customer experiences, and unlock new revenue streams.
$700B+
Global telecom data revenue expected by 2025, driven by 5G, IoT, and cloud
20–30%
Improvement in customer satisfaction for companies using advanced data analytics
70%+
Of telecom executives see data-driven decision-making as critical to future success — McKinsey

Additionally, companies that harness advanced data analytics report a 15–20% increase in revenue through targeted marketing, churn reduction, and service innovation. As the industry evolves towards autonomous networks and personalized services, investment in robust data management and analytics capabilities becomes an imperative.

A current state of the data: fragmentation creates a gap

A recent TM Forum report on unlocking AI potential through modern data architecture reveals a key chart illustrating the current landscape within CSPs:

CSP's Current Data Architectures

The analysis reveals a significant level of fragmentation across organizations. Nearly half (48%) of CSPs operate with different divisions and teams maintaining their own platforms and strategies, indicating a decentralized approach.

  • Only 30% of CSPs have a unified data platform that is part of the OSS/BSS architecture
  • Almost 50% of CSPs have disparate data strategies across different divisions and teams
  • Almost 1 in 4 have a data platform not integrated with core operations

Overall, these findings highlight the industry’s varied maturity levels and the potential need for standardization to unlock more scalable and efficient AI use cases.

From fragmented data to AI leadership

By addressing the fragmented data architectures and developing a more integrated approach, CSPs can lay the foundation for effective AI implementations. CIOs who develop a competitive advantage through AI focus on the underlying IT infrastructure, and the right data foundations allow the business to shift rapidly as new opportunities emerge.

Source: CIO OnlineHow to build data foundations for AI exploration

Our Readiness IT – a CONKORD company expert team supports CIOs in defining and executing actionable roadmaps:

1
Build a data strategy
With nearly half of CSPs operating with fragmented platforms, there is an urgent need for standardization. CIOs should prioritize developing a cohesive data strategy that aligns across units to support scalable AI and analytics initiatives.
2
Establish a unified data platform
Develop a centralized data platform that integrates seamlessly with existing OSS/BSS systems, ensuring consistent data flows and easy access for AI-driven processes, enabling end-to-end automation and analytics.
3
Create data governance and architecture design
Establishing clear data governance frameworks and architecture standards will be crucial for managing diverse data sources and ensuring compliance, security, and quality, enabling AI initiatives to scale effectively.
4
Modernize legacy and isolated platforms
The 23% maintaining isolated data platforms represent a barrier to AI-driven innovation. CIOs must plan for phased migration, modernization, or integration strategies that mitigate risks and ensure data readiness for advanced analytics.
5
Align teams and divisions
Implement governance frameworks to align data strategies across divisions. Encourage collaboration through cross-functional teams that focus on unified goals and shared data insights, effectively breaking down silos.
Full Cycle Delivery — from Advisory to Support
About us
A trusted high-tech partner with 20+ years of telco expertise.

With deep industry expertise, technical excellence, and AI-driven innovation, we empower CSPs on their digital transformation journeys — from modernizing B/OSS to achieving autonomous operations. We bridge legacy O/BSS systems with cloud-native, data-driven architectures while ensuring business continuity and rapid ROI.

As an Agentic Integration Company, we don’t just connect systems. We architect adaptive, intelligent digital ecosystems aligned to industry best-practices (TM Forum) — so you can innovate, scale, and lead.