Posidex Master Data Management for Telecom Industry

To stop the churn, identify the churn.
Timing matters!!

Telecom companies must manage a large and ever-growing volume of data, including customer data, network data, and other operational data. An effective master data management for telecom is essential to unlocking the value of this data and driving operational efficiencies.

Tracking customer churn is the biggest challenge in the telecom industry. Predicting and engaging customer loyalty is the maximum spend for a telecom company requiring high scale data maintenance and analytics process management. A full customer picture can help understand customer pain-point to target at the right time and improve customer loyalty. Because a customer in hand is better than two leads in the market.

Big Data Solutions for Telecom sector to handle the following requirements

Telecom Use Case
Customer Experience

Customer Experience

  • 360 degree view of customer across products and lines of Business
  • Real time customer exposure (Multiple SIMS)
  • Instant Customer On-boarding
  • Customer Golden Id & Golden record generation
Compliance Customer Due Diligence

Compliance Customer Due Diligence

  • Meeting Regulatory Compliance of Max SIMS per Persons
  • Screening against watchlist during SIM allotment


  • Customer householding
  • Bulk matching for campaign management
  • Cross-sell and Up-sell
Data Analytics

Data Analytics

  • Customer Segmentation
  • Customer Lifetime Value
  • Customer Engagement

A comprehensive and effective master data management strategy is critical for telecom companies. This data is the foundation for all customer interactions and business processes, and it must be accurate and up-to-date.

An effective master data management for telecom includes several key components:

  • Data governance: Establishing clear roles and responsibilities for data management, and defining processes and controls to ensure data quality.
  • Data quality management: Continuously monitoring and improving the quality of the data.
  • Data integration: Ensuring that all data is consolidated and available in a single, consistent view.
  • Data security: Protecting data from unauthorized access and ensuring its integrity.

Telecom companies must also consider how they will use master data to drive business value. For example, they can use data analytics to better understand customer behavior and preferences, or they can use it to improve operational efficiency.

By implementing an effective master data management strategy, telecom companies can improve their business processes, customer interactions, and overall competitive position.

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