Content Engine RFI

Agency:	University of Minnesota
State:	Minnesota
Type of Government:	State & Local
Posted Date:	Nov 6, 2024
Due Date:	Nov 27, 2024
Solicitation No:	10237.102224
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Description

Bid Information

Type	Request for Information
Status	Issued
Number	10237.102224 (Content Engine RFI)
Issue Date & Time	11/6/2024 02:26:22 PM (CT)
Close Date & Time	11/27/2024 02:00:00 PM (CT)
Question Cut Off Date	11/18/2024 02:00:00 PM (CT)
Notes	The University of Minnesota is a public, land-grant university founded in 1851. Today, the University consists of five campuses: Crookston, Duluth, Morris, Rochester, and Twin Cities. The University employs 4,650 faculty and approximately 22,000 staff members. University of Minnesota (UMN) audiences currently have the potential to receive email communications from a large variety of units across the University system. There is no comprehensive, central way to track all of the content that is created, or to know which audience members receive which content. Because of this, audience members may be contacted at a high volume and frequency, which can lead to the perception of disorganization within the University, and/or a feeling of being “spammed” by University communications. In partnership with units across the UMN System, the University of Minnesota Foundation (UMF), University Relations (UR) and the Office of Information Technology (OIT), wish to create / build a digital content engine that is the source of truth for all University marketing efforts. This system should provide the ability to disseminate marketing content VENDORS: Please note that this is a request for information ONLY. No award will be made from this RFI. Respondents are prohibited from contacting the identified department about this RFI while in process. Before submitting questions about the RFI via the Questions Tab, read and review the Supplier Process and Information Attachment and ALL Attributes in the Attributes Tab, especially Background and Project Summary/Scope of Work. These provide valuable information and address frequently asked questions. Remember to submit your response, including attachments, early to allow time to correct errors. The submission deadline is a hard close. The system will reject responses with errors and will NOT allow late submissions.