Organizations tend to conduct employee satisfaction surveys at regular intervals to make sure that appropriate work experience is provided within the organization. The survey is done to measure whether the company culture is going in the right direction. It can point out any flaws or necessary steps need to be taken to cover up any flaws. This is because; employee satisfaction directly affects the productivity of any operation and hence is paid critical attention.
However, there can be some employees who didn’t take the satisfaction survey due to several reasons. The reasons can be personal or based on organizational behavior. You must want to understand the reason behind that to get optimal results from any employee satisfaction survey being conducted within your organization.
Clustering – Clustering is the process to divide subjects into several groups having certain data points To put it in simple words, Clustering is classifying objects in multiple groups based on similarities and differences. This is a highly diverse branch of Data Analysis and has countless possibilities that can be achieved through the clustering of Data. Clustering can be customized easily according to the user needs and keeping the goal in mind so you get optimal and accurate results.
Use Clustering to understand the employees that did not take a satisfaction survey
Big Data has revolutionized almost every field of life and the corporate sector. Data Mining and Data Analysis have a wide scope to deploy them within your organization – to understand employee behaviors and their reasons to ensure maximum productivity is being achieved through employee satisfaction.
Organizations conduct employee satisfaction surveys. Yet, there can be some employees that do not take such surveys and leave you to wonder, why? What needs to be done to understand those employees and make it productive for the whole operation and improve the working environment for such employees as well?
Clustering makes it easier for you to understand the employees within your organization who did not take the satisfaction survey with accurate results. You can also find out the reason for them to not take the survey and work on improving those for the future. Due to the wide scope of clustering, it doesn’t matter if your organization has a large scale operation with thousands of employees or if you are running a small company with several hundred employees. You can effectively understand the facts and figures with clustering and make it certain that you are doing your best to improve overall employee experience and taking the company culture in the right direction to ensure maximum productivity.
Clustering is one of the highly-used and most effective methods to use Big Data and Machine Learning combined to identify behaviors and reasons for any organization to ensure a productive company culture and keep the employees satisfied with maximum job satisfaction. This process is important to maintain a proper operational flow within the organization that can boost the overall growth of the business. To discuss more on this topic feel free to get in touch with NextBee. We are a data-driven company with 10 plus years of experience helping businesses to climb the ladder of success.
