Employee Turnover at everis
Contributions to staff retention at everis
Company Age
Company Size
Mean Seniority
Industry
Country
Intrinsic
About everis
everis an NTT DATA Company is a multinational consulting firm that offers business and strategic solutions, development and maintenance of technological applications and outsourcing services. The company, which operates in the telecommunications, financial, industrial, utilities, energy, public ...
What is "Avoidable" turnover?
Employee retention at everis very similar compared to other similar companies. While retention is impacted by many factors. A lot of those factors are outside the control of the company. For example, factors like company size, industry, or required skills cannot be easily changed. everis has an employee retention rate that is comparable to others with the same fixed attributes. Which suggests they may not be able to do much to change how long workers stay with them.
What is driving turnover at everis?
Employee turnover at Everis is primarily driven by in-demand employee skills and employee seniority. These employees are in high demand within the workforce. Employee turnover differs significantly between employee groups with different skills sets. Employees with skills that are in hight demand, like software engineering, typically stay with a company for less time than employees in, say, operations or finance. The employees at this company are less experienced than the industry average. Employees who have worked at a company for longer periods of time are less likely to leave than new employees. It's important to know what factors contribute to employee turnover. The following are some of the most common causes of employee turnover: lack of job satisfaction, inability to advance in the organization, incompetence at work, low pay, or un-challenging work.
Methodology
The numbers reported here are based on statistical analysis of publicly available employment data of current and past employees of the company. We determine mean tenure based on how long past employees have stayed at the company and how long current employees have been employed. We determine the annual turnover percentage as (1/tenure * 100). We analyse a sample of the employees at a company. We make an effort to sample in a representative way but some bias is unavoidable. Some types of employees may be overrepresented in our sample based on their job, their online activity, and their geographic location. We expect our number to have a confidence interval of approximately 1 year. In other words, if the mean tenure reported is 4 years, the true value lies between 3 and 5 with 98% confidence. Similarly if the average turnover reported is 20% we expect the true value to be between 15% and 25%.
Disclaimer
We make an effort to report accurate information and to be transparent regarding our methodology. However, we make no warranty of any kind as to the accuracy of these reports. Use at your own risk. If you feel that any of the information reported here is inaccurate for any reason, please let us know.