Learn how to leverage SEM data to strengthen your decision-making and reporting capabilities.
Early Bird Pricing Expires in:
Learn how you can take a more data-informed approach to strategic enrollment management (SEM) using small and big data sources across the prospective and current student lifecycle. Through a variety of case studies, in-depth examples, and hands-on working time you will leave this conference better able to:
- Identify and use the internal and external SEM data that is available to you
- Make data-informed decisions across financial aid, recruitment, and retention
- Leverage data visualization to enhance your SEM reporting capabilities
- Apply what you learn to your unique institutional context
Workshop Your Own Enrollment and Retention Data
As part of the conference, you will be asked to bring some institutional data in either enrollment, recruitment, or success/retention that is reflective of a data puzzle that you and your team are currently working through on your campus. With the guidance of our instructors, you will have the opportunity to use what you’ve learned to begin working toward solutions and to yield more meaning out of your data.
Bring Your Team for Individualized Consultation Sessions
You will have the opportunity to sign up for twenty-minute consultation sessions with our expert faculty to receive advice and guidance on specific questions and challenges you and your team are facing. We strongly encourage you to bring your team and join other professionals from enrollment management, admissions, financial aid, institutional research, academic affairs, and student affairs who wish to:
- Better understand the role of “big data” in SEM
- Move toward a more data-driven enrollment culture on their campuses
- Look at SEM from the lens of recruitment, enrollment, AND retention
Bring your team and save!
Pre-Conference Workshop: Utilizing Predictive Analytics in Enrollment Management
Join us for a pre-conference workshop that will help you better understand how you can use predictive modeling in enrollment management efforts on your campus. Our expert instructor will walk you through a detailed case study of the predictive models he has used during the various stages of the enrollment funnel on his campus. He will also illustrate how the insights gained from predictive modeling can be brought to bear on strategic decisions.
8:30 a.m. to 1:00 p.m.
Your registration fee includes the pre-conference workshop and materials, breakfast and lunch on Monday, as well as refreshments.
Join us for a pre-conference workshop that will help you better understand how you can use predictive modeling in enrollment management efforts on your campus. Our expert instructor will walk you through a detailed case study of the predictive models he has used at the various stages of the enrollment funnel on his campus. He will also illustrate how the insights gained from predictive modeling can be brought to bear on strategic decisions. Specific concepts and topics to be addressed include:
- Statistical output data to inform strategic decision making
- Easy to understand predictive model and how mathematics plays a role in statistical design
- Approaches to integrate predictive modeling within your strategic enrollment management plan
12:30 p.m. to 5:00 p.m.
Your registration fee includes full access to all conference sessions and materials, access to the networking reception on Monday, breakfast and lunch on Tuesday, and breakfast on Wednesday, as well as refreshments and snacks throughout the conference.
The conference will open with some thoughts from the speaker panel on what it really means to be “data-driven” across the student lifecycle and in your EM strategy. You will be given time to discuss these questions at your tables and share your own ideas with the group.
We will focus on defining the difference between internal versus external SEM data sources. You will complete an activity that explores what these types of data look like in your institutional context and reflect upon questions like:
- What kinds of internal data points are already available to you, and which might you want to seek out?
- What kinds of external data sources are available for mining that can help you gauge your market position as well as inform enrollment and retention goal setting and planning?
8:30 a.m. to 6:15 p.m.
Participants will have the opportunity to focus on the first day’s takeaways, and our instructors will be on hand to answer any questions you may have.
This presentation will set the stage for the conversation about decision-making that will be taking place throughout the rest of the day. Specific attention will be paid to the nuts and bolts of the decision-making process in today’s data-rich environment, where information is constantly changing. Should your data you have drive your decisions or simply influence them? When should you make decisions based on what your data is telling you?
In this session, you will explore a case study that highlights the data-informed approach that one institution is using to make strategic decisions about financial aid packaging and allocation. Specific questions pertaining to relevant internal data points, price elasticity, and predictive modeling will be addressed.
Our expert instructor will present a case study that will highlight the data-informed approach that one institution is using to make strategic decisions about retention and student success. Predictors of retention to inform recruitment and admissions, the connection between financial aid and retention, predictive analytics, and establishing meaningful metrics for tracking persistence and retention will be explored.
Building upon the previous session, our presenter will walk you through a case study from Roger Williams University that allowed the institution to better use data to assess student demand and improved data usage across campus. Afterwards, participants will be guided through an interactive analysis of various data sets and will be asked to make recommendations on new recruitment strategies and academic program development opportunities.
Having heard two case studies on data-based decision-making from our instructor team, you will now have the opportunity to dig into a “data puzzle” that you are experiencing at your institution surrounding enrollment, recruitment, or retention/student success. You will be asked ahead of time to bring your own data set to the conference that reflects this puzzle and will then be given time during the activity to discuss and gain some more clarity around it with the help of your fellow conference attendees and the instructors.
You will have the opportunity to sign up for twenty-minute individual consultation sessions with conference instructors. These sessions are included with the conference registration fee and are an opportunity for you and your team to obtain some advice and guidance on the specific questions and challenges you may be having in connection to data-based decision-making in enrollment management on your campus.
7:30 a.m. to 12:30 p.m.
During this time, you may sign up for twenty-minute individual consultation sessions with the conference instructors to obtain specific advice and guidance on challenges you are facing on your own campus.
Participants will have the opportunity to focus on the first day’s takeaways and our instructors will be on hand to answer any questions you may have.
We will use Tableau as an example of how data visualization tools and techniques can be used to enhance SEM reporting to your various audiences. How can you get beyond Excel spreadsheets to represent the data you have in different ways so that it is accessible to others and tells a story? Which types of data lend themselves best to which forms of representation, and how should audience inform the type of data visualization you use?
Our final conference session will focus on metrics and measurement for the various online student retention programs and initiatives you have in place. You will learn how to more effectively use data to make informed decisions about which programs to keep, cut, or scale up, and you will see examples of this kind of data-based programmatic decision-making from our expert instructor.
Dr. Laura Jensen
Associate Provost for Planning and Effectiveness
Colorado State University
Laura is committed to helping her institution better understand issues surrounding student success, program evaluation, assessment, enrollment, faculty/staff, research, and operations. She serves on a variety of internal and external committees related to educational research, reporting, and data management.
Randall Langston, Ph.D.
Vice President, Enrollment Management
Texas Woman's University
Randall leads staff in the Offices of Admissions, Registrar, Financial Aid, and the Office of Admissions Processing and is responsible for developing strategic enrollment management plans, high level statistical and mathematical data analysis, and predictive modeling.
Brian G. Williams, D.M.
Interim Chief of Staff
Roger Williams University
Brian became the Interim Chief of Staff recently after initially joining Roger Williams University as the Vice President of Enrollment Management and Marketing. In his previous role, Brian oversaw undergraduate and graduate enrollment and the marketing efforts of the university. He had a key role in strategic planning and data analytics across the university enrollment efforts for recruitment, financial aid, academic planning, and retention.
Maximize your learning experience with a ticket to both the main conference, and pre-conference workshop.
Team Discounts Available
- 1-2 registrations: full price
- 3-4 registrations: 15% off each conference registration
- 5-7 registrations: 20% off each conference registration
- 8 + registrations: 25% off each conference registration
Purchase the conference binder, which includes all presentation slides, worksheets, action plans, and additional resources.
Note: Conference attendees do not need to purchase materials separately.
Questions About the Event?
Program Manager, Academic Impressions