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Get the FACS Faculty Automated Contract System. University Profile Member of the University System of Maryland Located 8 miles north of Baltimore Approx.

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Presentation on theme: "Get the FACS Faculty Automated Contract System. University Profile Member of the University System of Maryland Located 8 miles north of Baltimore Approx."— Presentation transcript:

1 Get the FACS Faculty Automated Contract System

2 University Profile Member of the University System of Maryland Located 8 miles north of Baltimore Approx. 22,000 students 848 full-time faculty and 795 part-time faculty 1,357 full-time staff and 471 part-time staff 7 colleges, 64 undergraduate majors, and 50 graduate programs

3 Adjunct Contract Process before FACS Approximately 6,000 multi-page paper contracts prepared and processed each year Three levels of approval: appointee, chair, & dean signed documents Contracts delivered by mail or courier

4 Three processing offices: Provost Budget Office, Office of Human Resources (OHR), and Payroll Provost Budget Office enters contract into shadow system (Access) to authorize payment OHR establishes job record in PeopleSoft and scans documents into ImageNow Payroll enters pay schedule into PeopleSoft to pay appointees

5 The Problem High volume of paper documents Weeks from initiation to payroll complete Labor intensive High risk for misplaced contracts Duplicate effort in colleges and central administrative offices: spreadsheets, shadow systems, copying, and storage

6 Time delay in processing contract cancellations Contracts were not secured until scanned into ImageNow No reliable method for reconciling contracts, matching enrollments to contracts, identifying dual employment

7 FACS Benefits No paper Secure system Only takes seconds to create a contract Electronic approvals Document is immediately stored in ImageNow 1-3 days from initiation to payroll complete

8 Contract status is visible Instant cancellations Data stored in central location Users can query on all fields Departments can reconcile contracts created to verify all have been entered Ability to analyze data for potential duplicate contracts, enrollments, workload, dual employment, highest degree, US citizenship


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