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Effectively Manage Human Resources

Recent events, both domestic and international, have demonstrated how critical it is for a country’s armed forces to be able to recruit, retain, and train personnel effectively. You can rely on predictive analytics solutions from SPSS Inc. to aid your service in this critical effort.

Set accurate recruitment goals

The first step in effective recruiting is to accurately forecast the types of manpower you will need over time. Using SPSS technologies, you can measure current resources by class and model the flow of people between classes during a specific time period. This enables your staff to predict which slots will open in the future and set accurate recruitment goals.

Recruit and retain qualified candidates

Turnover among employees and service personnel is expensive, both in terms of actual outlays for recruiting and in terms of training required for new recruits. Predictive analytics from SPSS helps your service recruit and retain qualified candidates more effectively by enabling you to:

Provide appropriate training

It’s vitally important that service personnel have the knowledge and skills they need. To ensure that training provides those skills, officers and commanders perform regular assessments of personnel and the courses they take. SPSS offers advanced analytical and survey research solutions that help you evaluate how well courses meet predetermined learning objectives by surveying personnel before and after each course. You can also assess the impact of training on performance in the field.

To learn more about how SPSS solutions help defense agencies manage human resources more efficiently and effectively, contact your SPSS sales representative today.


In the News: U.S. Military Academy chooses SPSS software to predict cadet success. Staff at the USMA at West Point will build models with more than 20 years of personal characteristics collected from institutional survey data in order to determine the best predictors of success as a cadet and as an Army officer.
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