Unified Data Models for Telecoms
For Telecommunications Providers
Bridge BSS, OSS, and commercial data architectures on one collaborative canvas. Unify subscriber, service, and network entities so your data teams and AI agents build on shared business truth.
45-minute walkthrough of telecom data modeling with our architecture team
Proven at Enterprise Scale
Trusted by Leading Telecom Operators and Regulated Enterprises
Enterprise data teams at national telecommunications providers and regulated institutions rely on Ellie.ai to govern critical business entities.
The Telecom Data Dilemma
Telecom Data Is Too Fragmented for Modern Analytics and AI
Network operations, billing engines, and commercial customer teams all define subscribers and services differently. Disconnected silos stall data initiatives before they reach production.
BSS and OSS Speak Different Languages
Commercial billing, CRM, network inventory, and provisioning each maintain isolated definitions of a subscriber, plan, or service event. Reconciling definitions between operational network data and financial reporting takes weeks of manual alignment.
Siloed Pipelines Stall Data Products
When data engineers lack semantic business context, churn models, 5G monetization pipelines, and customer 360 projects stall in endless technical rework. Every schema change in source systems triggers a downstream fire drill.
AI Agents Lack Governed Business Context
Agentic AI and generative models cannot navigate raw telecom schemas without explicit domain relationships. Without a governed business glossary, AI copilots generate confident but inaccurate queries across complex network and billing data.
The Ellie.ai Solution
One Collaborative Data Canvas for the Entire Telecom Enterprise
Ellie.ai unites network architects, billing analysts, and data engineers around conceptual, logical, and physical data models with an integrated business glossary.
Define core telecom entities—subscribers, tariffs, cell sites, and service instances—once in a shared semantic canvas. Business stakeholders and data architects collaborate visually to agree on definitions before building pipelines.
Reverse engineer schemas from Snowflake, BigQuery, or 160+ source systems into standardized logical models. Automate SQL and DDL generation to deliver trusted telecom data products 20–30% faster.
Expose your telecommunications business glossary and entity relationships directly to LLMs and analytics platforms via Ellie's open API and MCP Server, ensuring accurate, explainable agentic AI workflows.
From Fragmentation to Governed Architecture
Three Steps to a Governed Telecom Data Model
How telecom data teams align business terminology and technical architecture
Map High-Impact Telecom Domains
Use Ellie's Lumi AI assistant or intuitive visual canvas to model high-priority domains like churn analytics, 5G enterprise services, or subscriber billing with business stakeholders.
Standardize Across BSS, OSS & Cloud Stacks
Connect to Snowflake, Fabric, or legacy systems to reverse engineer existing schemas. Map physical tables to conceptual entities and maintain domain-specific sub-glossaries.
Deploy and Expose to Agents and Pipelines
Export version-controlled models as Git YAML or DDL into your transformation stack, and enable AI agents to query governed context via MCP Server.
Proven Enterprise Impact
Measurable Results for Regulated Enterprise Teams
Trusted by Enterprise Data Leaders
“Ellie.ai has been a foundational platform for us. Their open API let us onboard over 700 tables and 25,000 columns from Microsoft Fabric in an afternoon instead of months. The addition of an MCP Server is a game changer. It lets AI agents tap directly into that curated business context, so they can understand how your data is structured and build better data products with a real understanding of what lives where.”
Seamless Ecosystem Integration
Built to Integrate with Your Modern Data Stack
Ellie connects seamlessly to your cloud warehouses, transformation tools, and governance catalogs without disrupting existing workflows.
Frequently Asked Questions for Telecom Data Teams
Ellie provides a vendor-neutral semantic layer where business analysts, network engineers, and data architects collaborate on shared conceptual entities. By defining terms like 'subscriber', 'service plan', and 'network element' in one visual canvas, teams eliminate semantic drift between commercial systems and network provisioning.
Yes. Ellie's conceptual and logical modeling canvases are methodology- and standard-agnostic. Teams can readily import, adapt, or reference industry reference architectures like TM Forum's Shared Information/Data Model (SID) to establish standardized enterprise glossaries and logical schemas. Ellie can import various formats such as JSON or even AI prompt to create the model
Ellie features pre-built connectors to 170+ business data solutions including Snowflake, Microsoft Fabric, Google BigQuery, and Databricks. It also synchronizes metadata with governance platforms like Microsoft Purview and Collibra, ensuring your modeling canvas and enterprise catalog stay fully aligned.
Through Ellie's Open API and MCP (Model Context Protocol) Server, AI agents query curated entity descriptions, synonyms, and relationship topologies in real time. This ensures autonomous copilots and analytics agents generate accurate SQL queries grounded in governed telecom business rules.
Ellie supports real-time concurrent multi-user editing, visual commenting, and Git-integrated version control with branching and merging. Distributed teams across commercial, network, and analytics divisions can iterate on models without overwriting work or creating conflicting offline files.
Yes. Ellie is ISO 27001:2022 certified and compliant with GDPR. The platform supports role-based access control (RBAC), SSO via Okta, Ping and Azure Active Directory, and never trains AI models on your private enterprise data assets.
Ready to Unify Your Telecom Data Architecture?
Schedule a 45-minute walkthrough with our data architects to see how leading telecom operators design and govern trusted data products in Ellie.
45-minute architectural session tailored to your stack • No software installation required