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Predict and Prevent Customer Churn in Telecommunication

The telecommunication industry is undergoing a seismic transformation, and companies must place data at the forefront of strategy to survive against growing competitive pressures. Many operators have yet to establish a data-centric strategy despise customer churn still debilitating in highly competitive industries.

In this case study, YData Fabric explains how to substantially improve the detection of potential customer churn, save costs, and increase upselling opportunities through a data-centric AI approach.

Download the new case study to understand how to:

  • Identify the most relevant information to develop a customer churn model
  • Overcome low volume of historical data
  • Work with imbalanced customer behavior

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