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Project Name

How a Telecom Company Migrated from Informatica PowerCenter to DFM

How a Telecom Company Migrated from Informatica PowerCenter to DFM
Industry
Telecommunication
Technology
Apache NiFi

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How a Telecom Company Migrated from Informatica PowerCenter to DFM
Overview

Our client, a global telecommunications leader, manages extensive data pipelines that power millions of customer interactions daily, spanning billing, network performance, and customer analytics. For years, these critical operations relied on Informatica PowerCenter for ETL processing and cross-system data movement.

 

Following Informatica’s acquisition, the client grew concerned about the platform’s future due to:

  • Licensing and support model changes
  • Rising maintenance overheads
  • Limited flexibility and integration options
  • Scalability constraints affecting innovation

The client sought a future-ready, open-source-driven ETL platform capable of delivering the same reliability and performance but with greater control, lower cost, and easier manageability.

Challenges

The migration journey came with significant operational and architectural challenges:

  • Vendor Lock-In & Rising Costs: Informatica’s changing licensing terms and support policies led to cost escalations and reduced flexibility.
  • Operational Overhead: Managing and troubleshooting PowerCenter workflows demanded extensive manual effort from the engineering team.
  • Technical Debt Accumulation: Over time, redundant mappings, legacy dependencies, and inconsistent documentation complicated upgrades and innovation.
  • Seamless Migration Requirement: Ensuring zero data loss and functional parity across hundreds of ETL workflows during transition was mission-critical.
Our Solution

We executed a phased, automation-led migration to Data Flow Manager (DFM), a scalable, intuitive ETL platform built to simplify complex data workflows while maintaining enterprise-grade performance and reliability.

  • Comprehensive Flow Discovery: We performed an in-depth analysis of existing PowerCenter repositories, identifying all mappings, dependencies, and transformations across environments to ensure a precise migration plan.
  • ETL Conversion & Execution: All PowerCenter mappings and logic were systematically converted into DFM-compatible flows, preserving transformation accuracy and ensuring 100% data consistency.
  • Architecture Optimization: During migration, monolithic ETL pipelines were refactored into modular, reusable flows, improving scalability and reducing technical debt. Reusable templates were introduced for recurring operations, enhancing long-term maintainability.
  • Operational Simplification with DFM: Leveraging DFM’s 500+ pre-built flows, AI-assisted flow generation, and a centralized management dashboard, the client gained end-to-end visibility and control over all workflows. Tasks like flow deployment, validation, and access management became faster and simpler, eliminating the need for multiple tools.
  • Centralized Monitoring & Governance: Through DFM’s unified control plane, the client’s data engineering team could monitor performance, validate executions, and manage flow versions in real time. This streamlined governance while strengthening auditability and compliance.
  • Post-Migration Enablement: To ensure self-sufficiency, Ksolves conducted knowledge transfer workshops and provided comprehensive documentation, empowering internal teams to manage, extend, and optimize their new DFM-based environment independently.
Impact
  • 100% Data Integrity: The migration was executed flawlessly, with zero data loss or corruption, ensuring complete trust and continuity in business-critical data.
  • 60% Reduction in Operational Effort: DFM’s intuitive interface and automated workflows drastically minimized manual intervention, freeing engineering teams to focus on innovation rather than maintenance.
  • Accelerated Deployment Cycles: Streamlined validation, testing, and deployment processes reduced release timelines from days to hours, enabling faster data delivery and decision-making.
  • Lower Total Cost of Ownership (TCO): By eliminating complex licensing structures and high maintenance costs, the client significantly reduced their ETL operational expenses.
  • Future-Ready Data Infrastructure: With DFM’s scalable architecture and simplified operations, the client now enjoys a resilient, adaptable data platform built on modern technology ready to meet evolving business demands.
Conclusion

The successful migration from Informatica PowerCenter to Data Flow Manager (DFM) marked a major step forward in the client’s data modernization journey. By addressing legacy limitations, eliminating technical debt, and simplifying operations, Ksolves delivered a future-ready ETL ecosystem that not only met but exceeded performance and reliability expectations. With DFM, the client now operates on a unified, scalable, and low-maintenance data platform – one that ensures complete transparency, faster deployments, and minimal operational overhead.

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