Enrollment Data Dashboard

09 November 2023 Enrollment Data Dashboard Minnesota State is in the process of identifying the scope and cost structure for tools to support and expertise to build an enrollment data dashboard utilizing Microsoft Office platform. 09 November 2023 Open 11/8/2023 12:00 AM CST Type Request for Information Close 12/4/2023 1:00 PM CST Number SRC-SYSOFF-2024-000169-RFI Currency US Dollar Sealed Until 12/4/2023 1:00 PM CST 09 November 2023 Contacts Ali Pickens-Opoku ali.pickens-opoku@minnstate.edu 09 November 2023 Commodity Codes Commodity Code Description 43230000 Software 81000000 Research and Technology Based Services 81110000 Computer services 81160000 Information Technology Service Delivery 09 November 202309 November 202309 November 202309 November 202309 November 202309 November 202309 November 2023 mailto:ali.pickens-opoku@minnstate.edu Project

Overview The purpose of this RFI is to gather information for a possible future request to proposal (RFP). The current need is to gain product information for the following: Minnesota State is in the process of identifying the scope and cost structure for tools to support and expertise to build an enrollment data dashboard utilizing the Microsoft Office platform. Minnesota State is gathering information from suppliers who can deliver to model out predictive analytics leveraging both data already within our current Student Information System (unique to Minnesota State) and PowerBI as well as other state- wide and available data such as participation in the job market, high school graduation rates, etc. Additionally, explore leveraging other data sets that exist within other technologies that are used by our campuses regarding student behavior. Leveraging new Microsoft tools, like Microsoft Co-Pilot for Power BI and Power BI, this project will utilize artificial intelligence (AI) to assist with our data analytics. Finally, this project is designed to answer “what if” scenarios. This project is focused on the credit-bearing, academic programs, not continuing education or non-credit programs. Technical/Functional Requirements Some examples of how we envision this functionality helping a campus leader through the technologies analysis of the data in the system, course-taking patterns, registration participation, etc.: Predictive Analytics: • Based on the current data, applications, market analysis – what do we anticipate our enrollment will be in a specific semester. • Based on the current data, applications, market analysis – what do we anticipate our enrollment make-up to be. By major. Student type. Credit intensity. Prescriptive Analytics: • Based on the enrollment predictions, identifying to inform how many additional or fewer sections of a class (Composition 1) would be needed. • Based on the current student dataset, identifying where they may want to be thinking about scaling up or down staff support in an advising or tutoring center. • Based on enrollment predictions, what housing mix should the campus plan for the coming year. • Based on past patterns, identifying what times, days, and modalities courses should be offered. • Based on past patterns, identifying what courses within an academic program are the unintended “off- ramp” courses – meaning students stop progressing after taking these classes. • Based on past patterns, identifying which course pairing students have more success with. • Based on past patterns, identifying ways to increase credit intensity of students. Deductive Analytics: • If we change the pre-requisite requirements on a course, what will enrollment look like. • If we have a new scholarship program, what will enrollment look like. Description Required to View Event Prerequisites Required to Enter Bid 09 November 2023 1. Please review the background of Minnesota State 2. Please review the following RFI Legal Notices. 09 November 202309 November 202309 November 202309 November 202309 November 2023 Buyer Attachments There are no Buyer Attachments added to this event. 09 November 202309 November 202309 November 202309 November 2023 Questions Required Questions Group 1.1: Company Profile Instructions: 1.1.1 Please provide the company name, address, phone number, email and names and contact information of Key Personnel. NOTE: Please do not include personal information 1.1.2 Please provide a brief overview history of your organization or company, including and industry experience. 1.1.3 Please include references from your three largest companies/educational institutions for which your proposed solution have been implemented. At least one should be similar in scope to Minnesota State and include multi-campus environments. Download the attached spreadsheet, fill out, save, and uploaded the finalized document. Group 2.1: Instructions: 2.1.1 Describe your success leveraging Microsoft Office Tools to build out a data dashboard? 2.1.2 Describe your success leveraging Microsoft Office Tools to build out predictive analytics. 2.1.3 Explain your success leveraging Microsoft Office Tools to build out prescriptive analytics. 2.1.4 Describe your success leveraging Microsoft Office Tools to build out deductive analytics. 2.1.5 Explain your understanding and experience working with institutions or systems of higher education, specifically regarding Strategic Enrollment Management. 2.1.6 Explain what data sources have you leveraged for these projects (technology platforms,Student Information Systems, Learning Management Tools, external data sets, etc.) 2.1.7 Explain how you have integrated these data sets into your analytics. Group 3.1: Instructions: 3.1.1 When approaching the build of an enrollment data dashboard please share how you would approach the project, understand the scope and needs, and identify the data-sources. 3.1.2 Customization and Scalability: Please explain how you would ensure that the tool can be adjusted as needed by our local information technology staff. What training/expertise would IT need to keep this tool running? 3.1.3 What do you expect or need from Minnesota State local IT? 3.1.4 Identify how you have previously integrated multiple sources of data within an enrollment dashboard? 3.1.5 When approaching this project, please define what you would identify as the core features and capabilities. 3.1.6 Identify the security measures that would be in place to protect private data. Group 4.1: Pricing and Cost Instructions: 4.1.1 What would an expected breakdown of the pricing be, including any recurring costs, one-time fees, or additional charges? 4.1.2 Are there any recurring costs, discounts, or special offers? 4.1.3 What tools within Microsoft would we need to have licenses for? For our constituents at our 33 colleges and universities to use this data, what licenses would they need to have? What is the estimated pricing 4.1.4 Share your preferred payment terms and options available. Group 5.1: Instructions: 5.1.1 What are your company's quality control processes, certifications, or industry standardsyou adhere to? 5.1.2 What performance guarantees, if any, does your company or service level agreements? 5.1.3 Describe any difficulties, challenges or risks that the company foresees, and how wouldyour company manage that? Group 6.1: Instructions: 09 November 202309 November 202309 November 2023 6.1.1 Please share about the availability and responsiveness of customer support channel. 6.1.2 What would be the expected frequency of software updates, bug fixes, and any associated costs be? Group 7.1: Implementation & Training Instructions: 7.1.1 Explain, in detail, the implementation timeline, potential disruptions, and required resources. 7.1.2 What training programs or resources available to help users adopt and utilize the product or service effectively. Group 8.1: Contractual and Legal Instructions: 8.1.1 Explain contractual terms, including contract duration, termination clauses, and renewaloptions. 8.1.2 Explain your company's compliance with relevant laws, regulations, and data protectionpolicies. Group 9.1: Other Instructions: 9.1.1 Is there anything you feel that would be useful for Minnesota State to know while planning for an RFP for this type of solution? 09 November 202309 November 202309 November 2023