Salary Market Data Analysis Solution

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Title:  

Salary Market Data Analysis Solution

Agency:  

Clemson University

State:  

South Carolina

NAICS Code:  

511210

Industry:  

Information Technology and Software Development

Solicitation Type:  

Request for Proposal

Solicitation ID:  

201697208 Addendum 1

Open Date:  

6/3/2025

Questions Due Date:  

6/17/2025

Close Date:  

7/1/2025

Project Duration:  

5 years

Last Updated:  

7/1/2025

Description:
Clemson University is seeking a vendor to provide a salary market data analysis solution to support compensation market analysis, forecasting, planning, and reporting needs. The solution should be able to import salary survey data from multiple sources, import employee data for analysis, and provide reporting capabilities. The vendor will be responsible for configuration, implementation, and training, and will provide ongoing maintenance and support. The contract will be for a one-year term with four optional one-year renewals. Key features and requirements include: • Ability to import salary survey data from multiple survey sources • Ability to import employee data for analysis • Reporting capabilities • Ability to perform regression modeling of job points to market data • Ability to analyze the competitiveness of pay for any job with respect to external market data • Ability to create reports and download to spreadsheets • Ability to provide up-to-date user guides and training materials
Attached Files:

Please visit the bid source via the “Link to Bid Source” button below for documentation.

Contact Information:

Kevin R Finan(Procurement Manager)

[email protected]

(856) 656-9856

Budget Estimate (AI):

$200,000 – $500,000

Based on the requirements and scope of the project, the estimated budget for this opportunity could range from $200,000 to $500,000. This estimate is based on the assumption that the solution will require significant development, implementation, and ongoing maintenance and support. The actual budget could be higher or lower, depending on the specific requirements and complexity of the project.

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