You probably know how much it costs to recruit and hire a team member but, do you know how long that team member is likely to stay in your employ and what factors will cause them to stay with the company or seek greener pastures? If you can’t anticipate the need for resources, you are likely to be short-handed at the wrong time, or to experience frequent turnover that will significantly impact your business success and your ability to get the job done.

When a team member leaves the company, the business must find, hire and train a new individual and, allow for ample transition time to get that new person up to speed. In the interim, there is loss of productivity and the risk of crucial mistakes.

Advanced analytics can help you to identify areas of dissatisfaction and understand the activities, processes, benefits, training and the work environment that encourages productivity and ensures employee satisfaction. Augmented analytics can also identify the need for training, the types of jobs that are most at risk of frequent turnover, the key skills for a particular position and the probability of advancement.

With predictive analytics the business can develop a clear picture of the ideal profile that will result in a good fit for a position and the types of training and mentoring required to assure that the team member will add the most value to the organization. These tools can help the organization to improve the recruiting and hiring process, and ensure that the enterprise mitigates attrition and increases employee loyalty and job satisfaction.

You can use Assisted Predictive Modeling to create a clear picture, and to develop effective benefits and training packages and attract and retain the right team members.

Learn More: Human Resource Attrition

View the Human Resource Attrition Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

• Customer Churn
• Fraud Mitigation
• Quality Control
• Demand Planning
• Product and Service Cross-Sell and Upsell
• Maintenance Management
• Customer Targeting
• Loan Approval
• Marketing Optimization
• Predictive Analytics Using External Data
• Online Target Marketing
• Students’ Academic Performance
• Crime Type Prediction

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how your business can leverage predictive analytics to plan and manage resources.

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