Predicting and reducing employee turnover is at the forefront of all human resource needs of an organization. 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 a highly diverse workspace. Through our holistic approach to employee attrition modeling, we help our clients to 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 to 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 can also help you 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 reducing overall costs. Accurate segmentation of the workforce into homogenous employee population groups is the key to understanding the behavioral characteristics of the employees. Quantzig’s employee clustering models can help you categorize your workforce based on skillset, regions, and preferences, helping you identify key characteristics that can be leveraged to bring out the best in your workforce.
Objective tracking of performance metrics is the key to evaluate employee performance. However, owing to the complex nature of datasets and business structures, it is indeed difficult to benchmark employees across departments and verticals, especially when evaluations are to be done at an organizational level. At Quantzig, we offer solutions that can help businesses identify the right set of performance metrics to improve employee management and build 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 since their efforts are recognized, retention is high, and the overall satisfaction levels are conducive to great results. Our employee satisfaction 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.
The 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 the root causes of employee disengagement 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 employee behaviors, as well as operational insights, giving you a competitive vision for improving employee loyalty. Using loyalty analytics, you can identify the reasons for people quitting, identify the high-risk employees who are likely on the verge of quitting and take proactive actions to help retain them.