Demand forecasts are used as input to planning activities and play an important role in the
management of fundamental operations. Accurate demand forecasting is an important …

The main thing is to directly estimate client survival rates in the telecom diligence and client
threat serves as a tool to completely understand client churn over time. relating to the guests …

Prediction models are usually built by applying a supervised learning algorithm to historical
data. This involves the use of data analytics system that uses real-time integration and …

This article proposed an innovative model to predict churning and non churning of clients in
the telecom industry. Now-a-days, telecom customers are frequently migrating from one …

The data-driven decision-making process has gained popularity in business as the last
decades' technological developments have made vast amounts of data available while …