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    Cyient-CyData-Transition-IQ
    POWERING POST-MERGER
    INTEGRATION
    THROUGH TRUSTED
    NETWORK DATA
Over 0 Mn
network data elements transitioned successfully
Over 0
global telecom operators supported
0 %
first-time acceptance of migrated data
0 %
on-time delivery performance

How do you integrate while the network stays live? This is the core question for operators navigating mergers, acquisitions, and large-scale consolidation programs.

Post-merger environments introduce complexity across network inventory data. Operators often inherit multiple OSS and inventory systems with different architectures and data models. Inventory records may be split across GIS platforms, CAD and design artefacts, bespoke databases, and operational repositories. Even when data exists, it may not be consistent across systems, making it hard to trust what is accurate, current, and complete.

CyDataTransitionIQ is built for this reality. It provides a structured and scalable approach to network data migration, improving data quality while consolidating inventories, preserving topology, and maintaining operational continuity throughout the transition phases.

A unified inventory foundation supports faster consolidation, reduces manual investigation, and enables teams to operate with confidence across planning, provisioning, and assurance.

Improve data accuracy, consistency, and trust across systems
Reduce manual investigation effort and operational friction
Accelerate post-M&A operational and commercial synergy realization

What we Offer

We provide end-to-end network data migration services, covering data conversion, data conflation, data migration, data cleansing, data maintenance, address data management, data quality management, and data synchronization and integration across OSS and inventory platforms.

A proven five-step migration framework to support risk-controlled execution:

  • Assess source systems
  • Compare legacy and target data models
  • Identify gaps, dependencies, and migration risks 
  • Define business rules and transformation logic
  • Map data models and attributes
  • Cleanse and enrich data
  • Configure automation and quality checks
  • Perform automated and semi-automated migration
  • Preserve topology, connectivity, and attributes
  • Maintain full traceability and accounting
  • Perform automated validation checks
  • Verify connectivity and completeness
  • Resolve exceptions before operational dependency
  • Synchronize with OSS, BSS, and work order systems
  • Capture backlogs and validate compliance
  • Enable ongoing data maintenance

This approach provides clear visibility into data readiness and integration scope, ensuring data is aligned and prepared for migration without carrying forward existing issues. Migration is executed with accuracy and control, minimizing operational risk and delivering data that can be trusted for day-to-day operational use. The result is stable operations supported by a sustainable business-as-usual model.

In the Spotlight

kirk-sinclair-sasktel-client-testimonial

Cyient has been an invested partner in our evolution, bringing a structured approach and deep telecom expertise to strengthen data integrity and improve operational efficiency for our network.

Kirk Sinclair | Engineering Manager, SaskTel

Insights 

Blog
Network_Consolidation_and_Data_Management_thumbnail
Why Telecom M&A Succeeds or Fails on Data, Not Scale by Rob Erdelen
Know more
Whitepaper
whitepaper-fiber-broadband-m-and-a
Making M&A Work in the Fiber Broadband Industry
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Talk to Our Experts

Learn what is the fastest path to a unified network data foundation!