ODA monetization: a long-term solution to how CSPs can use their data

Commercial context

CSPs and their enterprise partners hold huge volumes of operational and customer data, yet few can make the best possible use of it. Legacy IT systems restrict access, slow integration, and limit the use of advanced analytics. Data sits in silos that do not speak to each other. This fragmentation blocks the adoption of AI, automation, and digital twins. It also prevents real-time decisions, which are now essential in competitive telecom markets.

As CSPs shift towards open digital platforms, they face a clear barrier. Their core systems cannot support high-speed orchestration across network, service, and customer layers. Manual processes still dominate many workflows. As a result, teams cannot scale new products or test new ideas with speed. These constraints reduce revenue potential and weaken differentiation in markets where rapid innovation sets the pace.

The commercial pressure is also growing. As data-driven services expand across finance, commerce, and media, CSPs risk losing ground to faster digital players. They need a unified approach to data monetization that aligns legacy estates with modern Open Digital Architectures. The industry must create a path from static data collection to dynamic intelligence exchange. This shift requires standardization, automation, and strong governance. It also demands new models that turn raw data into meaningful value.

The ODA monetization engine: Transforming data assets into business growth Catalyst presents a structured, standards-aligned platform for data-driven growth. It moves CSPs from fragmented architectures to a unified digital fabric that can support dynamic service delivery. The core idea is simple but powerful. CSPs should not act only as data custodians - they should become digital service orchestrators who drive value through continuous intelligence and automated operations.

The solution

The Catalyst's solution is built on ODA components, assembled using the ODA Reference Architecture, ODA Canvas, and the ODA Component Inventory. This ensures consistency across domains and avoids the duplication that slows large-scale programs. Each component interacts through TM Forum-certified APIs, which allow data to move securely and predictably across the stack. Product definitions rely on TMF620, partner management is aligned with TMF622, and operational views are informed by TMF638, TMF639 and TMF642. Event flows and alarms use TMF701 and TMF628, providing a clear picture of network behavior.

Data governance is central to the design. The Catalyst uses GB1023, GB1025, IG1225 and IG1246 to ensure that data quality, access rights and lifecycle processes remain under strict control. This creates the trust required for cross-domain monetization, while keeping compliance risks low. The team also uses the DT4DI maturity model, strategy guides, and AI Ops architecture documents to establish a roadmap for automation. These assets define how intelligence flows through the system, from data ingestion to insight generation and orchestration.

The engine processes data from multiple channels and converts it into suggested actions. It uses automation routines drawn from the AI Ops lifecycle to detect events, assess patterns, and propose actions. It can trigger service changes, recommend product updates, or support financial decisions across digital services. This creates real-time responsiveness, which is vital for high-volume digital businesses.

In practice, the platform connects several revenue-generating functions under one architecture. Big data services operate through a data-as-a-service model, offering enterprise customers precise insights with controlled access. Insight-as-a-service APIs allow partners to build new applications without the need for raw data exposure. Digital financial services benefit from real-time assessments, improving credit decisions and customer engagement. Telco service loans gain a stronger analytical base, enabling responsible scaling.

Wider application and value

The result is a system that moves data across domains with clarity and speed, supported by standards that ensure long-term stability. The architecture reduces integration friction, improves the path to autonomous operations, and gives teams the tools to build new digital offers at lower cost.

This model has delivered strong results for Telkomsel, with annual business revenue impact in 2025 of more than 3,010 billion IDR, driven by better planning and more effective service orchestration. Throughput improved by 1.8%, and self-planning revenue per site increased by 31%. These gains demonstrate the combined value of automation, governance, and standardization when applied at scale.

The approach also has strong long-term commercial potential. Trio Wason Rusdiawan, project lead and General Manager - Data Engineering and Integration for Telkomsel, explains. "This Catalyst has resulted in a 40% reduction in O&M MTTR​ and a 27% growth in real-time 5G subscribers​. In 2026 alone, the project estimates that revenue could reach 3,300 billion IDR across big data services, API-driven insights, financial products, and telco service loans. These categories represent growth areas for CSPs worldwide. They rely on rapid decision-making, secure data exchange, and flexible orchestration. The Catalyst provides a framework that supports each of these needs."

For society, improved data governance and smarter decision-making create safer digital environments. Customers gain services that respond with accuracy and respect for consent boundaries. Enterprise benefits from reliable insights that support innovation. And CSPs gain the foundations needed to compete in fast-moving markets.

The ODA Monetization Engine Catalyst demonstrates that structured transformation is both possible and profitable, and that modern architectures can turn complex estates into engines of growth. As more CSPs adopt ODA, the industry will move closer to a flexible, federated digital ecosystem that supports scalable, sustainable value.