QUINN DECISION SUPPORT SYSTEM Quinn, the Question Information Navigator, provides college and system leaders with more timely access to data for better decision-making. With Quinn, you can: • reduce costs • increase attainment of desired outcomes • improve productivity • create compelling business cases • supplement judgment, intuition, and experience with verifiable evidence • support collaborative efforts Learn how Quinn can launch your decision-making beyond opinions and anecdotes. What is Quinn? QUestion INformation Navigator Quinn is the new VCCS Decision Support System (DSS) tool that offers customizable access to specific information needed to develop questions and make decisions, inform your stakeholders, and navigate through possible scenarios. The goal of Quinn is to build a decisionmaking process founded on historical data. Comprised of 3 tools- Dashboards, ProClarity Standard, and ProClarity Professional- it is designed to provide information to data users ranging from technical novice to expert. The data is self-service, relevant, timely, aggregated and computed. Exactly how does Quinn assist with the decision-making process? Through self- service and customizable reports, Quinn supports the evaluation of choices and the evaluation of outcomes in the decision-making process. Click here to see sample questions Quinn can answer. Why should I use it? Using a DSS tool, such as Quinn, supplements managerial judgment, intuition, and experience leading to faster decisions, reduced cost, improved results, and increased productivity. Quinn opens access to data across all college offices without having to rely on technical experts to develop reports. Campus-wide use of Quinn increases the potential for collaboration and cuts down on the silo-effect. Distribution of data through all levels of the organization creates an integrated, holistic approach to decision-making thus encouraging a culture of evidence. Who uses it? Any VCCS faculty or staff member who participates in making decisions which can be enhanced by of use of financial, student, human resource, or financial aid data. How do I get trained on this system? You can select from hands-on instructor led training held at various college campuses or a live web-based training. Student Module Information Core Data Elements: enrolled counts, grades, credits, registrations, courses, awards Categories of Data Elements (Dimensions): institution, term, campus, academic plan, ethnicity, gender, age, career, geographic location, developmental education Sample Questions addressed by the Student Executive Dashboard 1. Do new admits perform better or worse than readmits? 2. How many new non-credit students do we have this semester? 3. How many Associate of Science degrees did we award? 4. How long does it take students to complete an Associate degree? 5. What percentage of admitted students enrolls in classes? 6. How many course sections did we offer? 7. How many students are enrolled? 8. What percentage of student withdraws from classes? Is this trending up or down? 9. What percentage of our students who registered in the fall also registered in the spring? 10. What is the completion rate with developmental math module III in any given semester? 11. How do my course utilization compare by faculty for the accounting classes? 12. How many students do we have enrolled in emergency medical services? What are the enrollment trends for this program? Financial Aid Module Information Core Data Elements: Awards, Disbursements, ISIRs, SAP status Categories of Data Elements (Dimensions): institution, term, aid year, disbursement period, ethnicity, gender, age, career, geographic location Sample Questions addressed by the Financial Aid Dashboard 1. How much of each award type has been awarded? 2. How many of the federal award types were awarded? 3. How many new students to the college applied for aid? 4. Of those who applied to the college, how many were awarded aid? 5. What is the breakdown of awards granted by disbursement periods? 6. How does my college compare to other colleges in terms of ISIRs received, enrollment with awards granted, and enrollment with no awards granted? 7. What is the SAP status of financial aid students by term? 8. What is the middle income and average EFC of students receiving aid? 9. How much aid is awarded to student in the various academic plans? 10. What is the retention rate for students receiving aid? How can I compare these rates by admit type, gender, age, and ethnicity? 11. What is the trend for ISIR's received and enrollment with awards granted over the last 4 aid years? 12. Which months are most active in terms of accepting ISIRs and processing aid?
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