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Predicting and reducing employee turnover is at the forefront of all human resource needs for an organization as employee attrition is a major cost to an enterprise. With adequate technological proliferation and advancements in data science and machine learning, businesses can now gain comprehensive insights on critical features that are linked to employee attrition in the highly diverse workspace.
Through our holistic approach to employee attrition modeling, we help our clients break down complexities in black-box machine learning models and adopt a more futuristic approach that aims to drive business excellence.
In today’s complex and fast moving corporate culture, predictive analytics is a critical tool that helps organizations mitigate the risk and cost of managing employee attrition. If you are one among the millions of organizations looking to leverage employee attrition modeling to drive down costs and lower the rate of employee turnover, Quantzig’s domain expertise can not only help you identify the key symptoms leading to employee turnover but also help forecast the potential attrition rate in the upcoming months.
Quantzig’s employee attrition modeling solutions can also empower you to use data to discover the success of your employee retention programs and campaigns with ease. With a model that is tactically designed and implemented with the best quality data, you will be well-positioned to successfully scaffold your employee retention efforts.
Tailored reward programs for different workforce segments help businesses gain a competitive edge by improving employee satisfaction and leading to reduced overall cost. Accurate segmentation of workforce into narrower homogenous employee population groups is the key to understand the behavioral characteristics of the employees. Quantzig’s employee attrition modeling solutions can help you categorize your workforce based on skillset, regions, preferences, etc. and identify the group’s key characteristics which can be leveraged to bring out the best in your workforce.
Objective tracking of performance metrics is the key to evaluate the employee performance. However, owing to the complex nature of work and structure within organizations, it has become increasingly complex to benchmark employees across departments and verticals when evaluations are to be done at an organizational level. At Quantzig, we offer advanced employee attrition modeling solutions that can help businesses identify the right set of performance metrics to improve employee management and create high-performing teams.
Employee satisfaction translates into tangible effects that inevitably lead to a company's increased profitability and success. Focusing on the engagement and development of your employees can ensure a strong company culture, wherein, people thrive and perform their best work since their efforts are recognized, retention is high, and the overall satisfaction levels are conducive to great results. Our employee attrition modeling solutions are backed by data science and supported by powerful algorithms to help you keep a pulse on your workforce and achieve your business objectives effectively.
Proliferation of new sources of digital information brings with it a wealth of rich employee information which if harnessed properly can provide an unfiltered glimpse into the pulse of your workforce, the simple ideas employees have to improve the work environment or even the reasons why your top performers may be leaving the company. Unlocking the knowledge from these sources of information requires expanding the boundaries of traditional business intelligence systems. By actively monitoring and integrating employee data we can help you leverage a unique combination of statistical modeling and rule-based natural language processing techniques to extract and analyze employee sentiments in real-time.
The ability to attract and retain a loyal employee base and understand root causes for employee disengagement and disloyalty are key strategic objectives for every organization. Our predictive employee attrition modeling solutions help businesses to merge employee data, company data and market information to predict and interpret valuable employees’ behaviors, as well as operations-level insights, giving you a competitive vision for improving employee loyalty. Using the loyalty analytics, you can identify the reasons for people quitting, identify the high-risk employees who are likely on verge of quitting and take proactive actions to help retain them.