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Summary
These guidelines simplify data extraction and application for designing effective programs and benefits packages. Learn how to leverage information for better program development and employee benefits.
Area of Science:
- Data Science
- Program Design
- Benefits Administration
Background:
- Effective program and benefits design requires robust data.
- Challenges exist in data extraction and application.
Purpose of the Study:
- To provide guidelines for data extraction.
- To guide the application of data in program and benefits design.
Main Methods:
- Data mining techniques.
- Information synthesis for practical application.
Main Results:
- Streamlined data retrieval processes.
- Improved framework for designing programs and benefits.
Conclusions:
- Data-driven design enhances program and benefits effectiveness.
- Guidelines facilitate informed decision-making.