Predicting Employee Kernelover

Human Resources Analytics – Milestone Report


“Yeah, they all said that to me…”, *Bob replied as we were at Starbucks sipping on our dark roast coffee. Bob is a friend of mine and was the owner of a multi-million dollar company, that’s right, “m-i-l-l-i-o-n”. He used to tell me stories about how his company’s productivity and growth has sky rocketed from the previous years and everything has been going great. But recently, he’s been noticing some decline within his company. In a five month period, he lost one-fifth of his employees. At least a dozen of them throughout each department made phone calls and even left sticky notes on their tables informing him about their leave. Nobody knew what was happening. In that year, he was contemplating about filing for bankruptcy. Fast-forward seven months later, he’s having a conversation with his co-founder of the company. The conversation ends with, “I quit…”

That is the last thing anybody wants to hear from their employees. In a sense, it’s the employees who make the company. It’s the employees who do the work. It’s the employees who shape the company’s culture. Long-term success, a healthy work environment, and high employee retention are all signs of a successful company. But when a company experiences a high rate of employee turnover, then something is going wrong. This can lead the company to huge monetary losses by these innovative and valuable employees.

Companies that maintain a healthy organization and culture are always a good sign of future prosperity. Recognizing and understanding what factors that were associated with employee turnover will allow companies and individuals to limit this from happening and may even increase employee productivity and growth. These predictive insights give managers the opportunity to take corrective steps to build and preserve their successful business.

“You don’t build a business. You build people, and people build the business.” – Zig Ziglar

Data visualization

Author: Randy Lao

Randy likes sharing valuable insights and making an impact that helps others learn through code, visualizations, and narratives.

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