Data and Business Intelligence Glossary Terms
Turnover Analysis
Turnover Analysis is a key technique in business intelligence that helps companies understand why and how often employees leave their jobs. Imagine it’s like a detective trying to figure out why people are leaving a party early. Companies use Turnover Analysis to look for patterns and reasons behind employee departures, which could range from salary issues to work environment. By digging into this data, they can spot trends and address any problems to keep their staff happier and reduce costs in the long run.
This kind of analysis usually involves looking at a bunch of different factors, like how long people stay in their jobs, which departments have the highest turnover rates, and whether there are common reasons that employees are giving for leaving. It can also compare how these rates stack up against other companies in the same industry. With this info in hand, a business can take action to improve their workplace and keep their staff on board for longer.
Doing a Turnover Analysis is super important for a company’s success because hiring and training new employees can be pretty expensive. If a company can figure out how to keep their workers satisfied and sticking around, they can save a lot of money and build a more experienced, knowledgeable team. Plus, it helps maintain a stable, productive work culture, which is a win-win for both the employees and the business.
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