The rise in computational power and machine learning has driven the growth of big data applications. As a result, the trend of adopting big data analytics among organizations to facilitate decisions is on the rise. The progress is so rapid that many organizations even...
Prediction Model
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30% Reduction in Employee Turnover Rates Achieved by a Retail Chain Through the Implementation of Turnover Prediction Models
Business Challenge Reducing employee turnover rate. A leading retail chain wanted to understand the cause of the high turnover rate of its employees, their reasons for leaving, and target areas that can help increase retention. Speak with our analytics experts today...
25% Reduction in Employee Turnover Rates Achieved by a Food Outlet through the Implementation of Turnover Prediction Model
Business Challenge Reducing employee turnover. A leading food outlet wanted to understand the reason behind the increasing turnover of its employees and find ways of improving retention. Speak with our analytics experts today to know all about turnover prediction...
Churn Prediction and Customer Retention Analytics Deliver an 85% Reduction in Customer Churn for a Multinational Bank
Business Challenge: Reducing customer churn and improving customer retention A leading multinational private bank wanted to understand the cause for high churn from its corporate clientele in the UK market, and improve customer retention. Situation: High...
Oil Exploration Company Reduces Workforce Turnover Rates by Implementing a Turnover Prediction Model
Business Challenge Reducing workforce turnover rate. A leading oil exploration company wanted to understand the turnover rate of its employees, their reasons, and suggestions on targeting areas that could help increase retention. Situation: Impact on daily operations...
50% Decrease in Customer Churn Rate Achieved by a UK-Based Telecom Provider through the Implementation of Churn Prediction Model
Business Challenge Implementation of a robust churn management solution. A leading UK based telecom company wanted to understand the churn of its customers and assess the key reasons leading to churn. The client also wanted to create the most viable potential offers...