Nokia Data Suite

Telco data products to accelerate your AI innovation

Data Suite

Quality telco data for AI‑native networks on the path to 6G

As AI moves from analytics to real‑time decisions and closed‑loop automation, data becomes the control surface of the network itself. Yet many telecom operators are held back by fragmented, low‑quality data foundations that were designed for reporting - not for AI acting on live networks.

Industry research shows that 70–80% of data scientists’ time is still spent on data gathering and preparation rather than building AI models — slowing innovation just as AI moves closer to the network control loop. *Analysys Mason

What is Nokia Data Suite and its data products?

Nokia Data Suite is a catalog of ready-to-use, telco-specific data products designed to accelerate AI-native autonomous networks. Built on a modern data mesh architecture, it standardizes how network data is curated, governed, and reused, embedding TM Forum-aligned telco semantics to create a trusted foundation for AI, GenAI, and automation.

By providing reusable, governed data products with built-in lineage, observability, and quality controls, Nokia Data Suite reduces data preparation effort, accelerates AI adoption, and enables Glass-Box AI for live network operations - ensuring decisions remain transparent, explainable, and traceable as networks become increasingly autonomous.

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Benefits of Nokia Data Suite
Features of Nokia Data Suite:
Related solutions and products
Learn more
Quality telco data for AI‑native networks on the path to 6G
What is Nokia Data Suite and its data products?
Accelerate your AI and GenAI initiatives
Resources for data and AI for autonomous networks

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Advancing connectivity with Nokia Data Suite

With Nokia Data Suite

Faster AI and GenAI adoption

Standardized data products reduce preparation effort and can accelerate the MLOps lifecycle by up to 70%.

Multi-vendor, multi-domain data foundation

Automated correlation across network domains delivers consistent, high-quality data while eliminating fragmented pipelines and duplicate data engineering efforts.

AI-enabled data products

Built-in AI and ML capabilities provide explainable insights, anomaly detection, and predictive intelligence that can be safely consumed by automation and agentic systems.

Governed and trusted by design

Data lineage, observability, governance, security, and auditability are embedded throughout the data lifecycle, providing a transparent foundation for AI-driven decisions.

As part of Nokia’s Autonomous Networks portfolio, Nokia Data Suite is powered by the Nokia Autonomous Networks Fabric, enabling seamless data integration, automation, and security across all network domains.

Accelerate your AI and GenAI initiatives

Nokia Data Suite accelerates AI and GenAI adoption by providing trusted, reusable telco data products that are ready for analytics, AI, and agentic AI without repetitive data engineering.

Teams can rapidly build new use cases using shared semantics, pre-packaged AI assets, and an intuitive drag-and-drop experience, while cloud-agnostic integration enables seamless use with existing environments and hyperscaler ecosystems.

By ensuring AI systems consume governed, explainable, and high-quality data, Nokia Data Suite helps operators move faster from experimentation to AI-driven action. This enables a Glass-Box AI approach where AI decisions are based on trusted data products, shared semantics, and full data lineage rather than opaque data pipelines.

Resources for data and AI for autonomous networks

Report

A regional guide to autonomous networks progress

eBook

Nokia Data Suite - Quality data for AI-native networks

White paper

Data foundation for autonomous networks

Benefits of Nokia Data Suite

Effortless data ingestion – without losing transparency

Nokia Data Suite simplifies data ingestion by utilizing adaptors that extract real-time telco data from multi-vendor, multi-domain networks. This enables democratized yet secure access to data, handling up to 250,000 cells and 270,000 reports per second*, ensuring efficient data processing.
*Tier 1 NAM customer

Optimized total cost of ownership

By aggregating data from various network elements into a single, unified data layer, you can eliminate the need for physical data centralization, micromanaging schemas, tracking diverse data formats, and manual correlation. This significantly reduces the costs associated with maintaining multiple mediation platforms, potentially saving millions*.
*Tier 1 NAM customer

Accelerate AI value realization

With Data Suite’s re-usable data products, the data preparation process in the AI/ML lifecycle can be completed in 3-4 weeks – around 70% faster time to value than in a typical project (4 months for a typical project). 

Prevent GIGO (Garbage in, garbage out)

High-quality, telco-specific data products, combined with continuous data observability, ensure AI systems operate on reliable, context-rich inputs rather than fragmented raw data.

This prevents "garbage in, garbage out" and enables Glass-Box AI, where data, decisions, and automated actions remain explainable, traceable, and auditable as networks evolve toward closed-loop and agentic operations.

Increased compliance, security and auditability

With robust data governance tools, including data catalog, data lineage, data validity engines, you can ensure the data stays accessible, reliable and secure. AI‑driven actions can be audited across domains and time, supporting regulatory compliance and reducing operational risk as networks become more autonomous.

Features of Nokia Data Suite:

Multi-vendor, multi-domain data correlation

Nokia Data Suite provides adaptors for easy integration and extraction from multi-vendor, multi-domain data sources at scale.

Data mesh architecture and telco data products

Decentralized data management, providing vendor‑agnostic 3GPP‑based data schemas enriched with telco semantics aligned to TM Forum standards, packaged as governed data products with clear business meaning - enabling consistent interpretation across domains, teams, and AI systems.

Tools for data observability and data governance

Nokia Data Suite provides tools to support data observability and governance throughout the data product’s lifecycle, including systems such as data catalog, data lineage, policy controls, and data validity engines.

Intuitive drag-and-drop interface

Nokia Data Suite has an intuitive drag-and-drop interface, providing easy utilization of data and enabling true data democratization.

Cloud-native, seamless integration with hyperscale tools

Designed to be cloud-agnostic, Data Suite seamlessly integrates with any existing ecosystems and environments, enabling individual domains to build BI, AI or Agentic AI systems with their favorite hyperscaler tools.

Telco-specific proven data and ML library

The data layer is decoupled from Nokia’s award-winning telco AI and analytics use cases and transformed into reusable data products, including pre-packaged AI models.

Openness

All data products can be easily enhanced, modified, augmented, and repackaged according to the use case with a no-code UI with just a few clicks. They are also always compatible with changing vendor landscapes and releases. 

Part of Nokia’s Autonomous Networks stack

Nokia Data Suite is part of Nokia Autonomous Networks applications, and powered by the Nokia Autonomous Networks Fabric, providing seamless data integration, automation, and security across all network domains, including core, mobile, and transport. 

Want to learn more?

The Data Suite demo shows how you can access your network’s data and start building AI use cases with ease. The categories of the data products within the Data Suite provide a high-quality reusable data foundation to train, test, and deploy key AIOps use cases and accelerate the journey to Autonomous Networks.

Request for a demo

Data products and data mesh explained

Traditional big data systems entail moving raw data from multiple sources into a large, monolithic data lake or data warehouse.

Data mesh fundamentally differs from this approach - instead of consolidating data into a monolith, it relies on data federation and data abstraction to virtually combine data, called data products, from dispersed sources for increased agility.

Data products and the concept of a "data mesh" are closely related in the context of modern data management and data-driven organizations. Both concepts are centered around the idea of decentralization and scalability in managing and utilizing data. Data products are specific implementations within the holistic data mesh approach, representing individual data offerings created by domain-specific data teams or product teams.

Data mesh treats data as a product, which aligns with the concept of data products. Data products are designed to serve specific user or business needs, providing data in a consumable and meaningful way. Both concepts aim to democratize data within organizations, making it accessible to a broader range of users and teams. Data products are a means of achieving this democratization by providing valuable data in a self-service manner.

Benefits of MLOps

Efficiency: faster model development, deployment, and life-cycle management
Scalability: Manage thousands of models and monitor for CI/CD
Reproducibility: Reproduce models and results for audit or diagnostics
Risk reduction: Ensures greater compliance with industry/government policies

MLOps explained

MLOps streamlines the process of taking machine learning models to production and maintaining and monitoring them.

Why Nokia AI and Analytics?

Nokia AI and Analytics software are proven to help telecommunication providers boost productivity, enhance telecom customer satisfaction and reputation, and grow new revenues.

Over 150 telecommunication providers globally rely on Nokia Analytics solutions to unlock the intelligence in their 5G, 4G and fixed broadband networks. They report significant business benefits helping telecommunication providers boost productivity, enhance customer satisfaction & and reputation, and grow new revenues.

Read more about Nokia AI and Analytics solutions here.