IDS Case Study: Using Data to Develop a New Compensation Model

By Keiter Technologies

IDS Case Study: Using Data to Develop a New Compensation Model

Can data help me retain and compensate my employees better?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.

Challenge and Opportunity

A Keiter Technologies Client and construction company was seeking a new way to better supports it compensation and bonus structure.


Our Approach

  • Clear and consistent compensation/bonus structure in the construction industry are essential to retaining employees.
  • The company wanted to add transparency and accountability to the process by developing a model that tracked time and employee outputs that factored into the compensation process.
  • Using R and Microsoft Power BI, the team migrated all the company’s employee data into PowerBi so that everybody could gain value from it.
  • In addition to the cleaned data, the company was able to use outputs from statistical models create in R to address geographical disparities.



The new program provided the company with clean data in which to make better informed decisions related to employee compensation and bonus structures.


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About the Author

Keiter Technologies

Keiter Technologies

Keiter Technologies focuses on serving businesses with their strategic technology needs through data science, cybersecurity, and IT audit and consulting.

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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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