USA-based client is associated with one of the global internet services providing companies that is offering DSL, copper, fixed, wireless, cable Internet, fiber-optic services, and mobile broadband services. The company is serving millions of people across the globe by offering high-speed internet at a minimum cost. Being one of the largest companies, they have more than 20k employees working in various units.
Having a large employee base, the client wanted to perform employee attrition analytics to understand the specific needs and concerns of the workforce and to optimize the employee experience. As the overall cost of employee turnover is $15 Million per annum. The objective of employee attrition is to potentially reduce the cost of replacement and to grow more aims to offer excellence, maximum employee satisfaction, and the right culture.
A client wants to build a model that helps to identify predictors of attrition and to enable the identification of the workforce who have a particularly high likelihood of leaving the workplace.
Here are some of the challenges the company faced:
Availability of lucrative offers from other companies
Expectations of high salary
The right candidate in the wrong job
Fewer opportunities to do something new
Difficulties faced in work-life balance
High level of stress and out-of-reach goals
Unable to provide the right training
Familiarizing with the problems of the client, SPEC INDIA came up with an employee attrition analysis model based on a predictive model technique.
Explored the employees with HRMS Application
Consolidated the five-year historical dataset
Explored the datasets and removed outliers and anomalies
The team identified 33 key attributes and build a data mart
Build a predictive analytics employee attrition model on a training data set
The employee attrition analysis model presented a set of characteristics along with statistics
Validate attrition model based on the entire data set
The employee attrition analysis model predicted and identified the employees who were likely to resign or stay in the organization.
Developed a Dashboard for HR Leaders where they can structure out personalized/group strategies for retention.
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Our detailed and accurate research , analysis, and refinement leads to a comprehensive study that describes the requirements, functions, and roles in a transparent manner.
We have a team of creative design experts who are apt at producing sleek designs of the system components with modernized layouts.
Our programmers are well versed with latest programming languages, tools, and techniques to effectively interpret the analysis and design into code.
Quality is at the helm of our projects. We leave no stone unturned in ensuring superior excellence and assurance in all our solutions and services.
We have a well-defined, robust, and secure launch criteria that offers us a successful implementation clubbed with detailed testing, customer acceptance and satisfaction.
With this, predictive analytics employee attrition, HR can plan out retention strategies in order to keep hold of the valuable employee
The new employee can bring in new thoughts, new ideas, creativity, and more innovation at work
The company can recruit the best-fit resource by finding out the one who is likely to stay
These results helped the business to reinforce general perceptions of people in the business areas about the hotspots. It gives more mileage for HR to encourage investment in interventional strategies
The company can refrain to pay rewards to undesirable employees
Removes bottlenecks and creates the space for the entry of new talents
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