Posted Date : December 09,2020
Product (RFP/RFQ/RFI/Solicitation/Tender/Bid Etc.) ID : MRB-18514
Government Authority located in Arkansas; USA based organization looking for expert vendor for strategic enrollment management, financial aid leveraging consulting services.
[A] Budget: Looking for Proposals
[B] Scope of Service:
Vendor needs to provide strategic enrollment management, financial aid leveraging consulting services to build an enrollment model designed to implement statistical analysis of potential students from prospect to application and application to enrollment. This process includes building a financial aid modeling system that utilizes machine learning and predictive analytics that allows the university to evaluate, create, and implement financial aid scenarios at any point in the awarding process. Proposers should approach this project focusing on the first year and how they can help us integrate financial aid with enrollment projections for the Fall 2022 entering class.
- Review financial aid data and collaborate with the university to build an awarding model that prioritizes institutional goals for the number of students enrolled as well as sub-goals for student characteristics.
- The model must allow near real time aid adjustment calculations, including student-level upward and downward adjustments in aid, which show projected affect both enrollment and net tuition revenue.
- Must offer Bi-directional, automated integration with Technolutions Slate CRM and Workday.
- OVERVIEW OF SERVICES
- Describe your company’s experience in building a scenario-based database utilizing combined financial aid, admissions and digital behavioral data.
- Describe all the variables you use to build your model for predicting likelihood for students to apply, likelihood for applied students to enroll and how either of those models are integrated into the financial aid model.
- Describe the accuracy of your statistical models and how you adjust them to become more accurate in order to inform policies and modeling for alternative marketing, admitting and awarding strategies.
- Describe your ability to create multiple live simulation models and quickly evaluate multiple aid policy scenarios for “as the need arises” implementation.
- Describe your dashboard system and its availability for use by the institution in ways that inform both marketing and awarding decisions in real time. Please include any system of reporting or consulting that you offer to the institution throughout the year.
- Describe the team that would be dedicated to this project. How available would they be to UAFS? Are your consultants permanent staff members or contract employees?
- FINANCIAL AID POLICY DEVELOPMENT: -
- Analyze trends in the relationship between financial aid and student behavior using a minimum of three years’ worth of historical enrollment and financial aid data, and present findings through a consultative, in-person session.
- Benchmark UAFS’s historical performance against relevant peers or other data sets.
- Develop econometric models to identify under- and over-awarded students and to understand the
factors that influence student enrollment.
- How will you support UAFS during the admit and award cycle? How often will you monitor the
University’s deposits and advise on strategies to optimize performance?
- For more information describe in document.
[C] Eligibility:
- Onshore (USA Organization Only);
[D] Work Performance:
Performance of the work will be Offsite. Vendor needs to carry work in their office location.
Budget :
Deadline to Submit Proposals: December 22,2020
Cost to Download This RFP/RFQ/RFI/Solicitation/Tender/Bid Document : 5 US$
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Product (RFP/RFQ/RFI/Solicitation/Tender/Bid Etc.) ID : MRB-18514
Government Authority located in Arkansas; USA based organization looking for expert vendor for strategic enrollment management, financial aid leveraging consulting services.
[A] Budget: Looking for Proposals
[B] Scope of Service:
Vendor needs to provide strategic enrollment management, financial aid leveraging consulting services to build an enrollment model designed to implement statistical analysis of potential students from prospect to application and application to enrollment. This process includes building a financial aid modeling system that utilizes machine learning and predictive analytics that allows the university to evaluate, create, and implement financial aid scenarios at any point in the awarding process. Proposers should approach this project focusing on the first year and how they can help us integrate financial aid with enrollment projections for the Fall 2022 entering class.
- Review financial aid data and collaborate with the university to build an awarding model that prioritizes institutional goals for the number of students enrolled as well as sub-goals for student characteristics.
- The model must allow near real time aid adjustment calculations, including student-level upward and downward adjustments in aid, which show projected affect both enrollment and net tuition revenue.
- Must offer Bi-directional, automated integration with Technolutions Slate CRM and Workday.
- OVERVIEW OF SERVICES
- Describe your company’s experience in building a scenario-based database utilizing combined financial aid, admissions and digital behavioral data.
- Describe all the variables you use to build your model for predicting likelihood for students to apply, likelihood for applied students to enroll and how either of those models are integrated into the financial aid model.
- Describe the accuracy of your statistical models and how you adjust them to become more accurate in order to inform policies and modeling for alternative marketing, admitting and awarding strategies.
- Describe your ability to create multiple live simulation models and quickly evaluate multiple aid policy scenarios for “as the need arises” implementation.
- Describe your dashboard system and its availability for use by the institution in ways that inform both marketing and awarding decisions in real time. Please include any system of reporting or consulting that you offer to the institution throughout the year.
- Describe the team that would be dedicated to this project. How available would they be to UAFS? Are your consultants permanent staff members or contract employees?
- FINANCIAL AID POLICY DEVELOPMENT: -
- Analyze trends in the relationship between financial aid and student behavior using a minimum of three years’ worth of historical enrollment and financial aid data, and present findings through a consultative, in-person session.
- Benchmark UAFS’s historical performance against relevant peers or other data sets.
- Develop econometric models to identify under- and over-awarded students and to understand the
factors that influence student enrollment.
- How will you support UAFS during the admit and award cycle? How often will you monitor the
University’s deposits and advise on strategies to optimize performance?
- For more information describe in document.
[C] Eligibility:
- Onshore (USA Organization Only);
[D] Work Performance:
Performance of the work will be Offsite. Vendor needs to carry work in their office location.
Budget :
Deadline to Submit Proposals: December 22,2020
Cost to Download This RFP/RFQ/RFI/Solicitation/Tender/Bid Document : 5 US$