Join us for Institutional Research and Planning's Data Literacy Pre-Summit Education, where you can explore how strong data foundations support effective AI use. Participants will learn new ways to streamline administrative processes, enhance reporting and analysis, and boost operational effectiveness.
Graduate Admissions Data 101:
9:20-10:20 a.m.
Bill Moore Success Center - President A
This session provides a high-level overview of Georgia Tech’s Graduate Admissions data and how it supports recruitment, outreach, enrollment forecasting, and decision-making across the Institute. The presentation will explore the graduate admissions data ecosystem, including how data from Slate and LITE provide operational and institutional perspectives on the applicant lifecycle. Attendees will learn where Graduate Admissions data can be accessed, how it is used for purposes such as early-cycle forecasting, yield analysis, and enrollment planning, and key considerations for interpreting and using the data responsibly. The session will also address data governance, including data definitions, validation, appropriate use, and emerging considerations for the use of AI with Graduate Admissions data.
Finance Data 101:
9:20-10:20 a.m.
Bill Moore Success Center - President C
This session introduces participants to finance-related data at Georgia Tech, covering topics such as accounting, expenditure tracking, and financial reporting. Participants will learn about financial data sources and how to navigate financial data systems and use this information to support decision making.
Research Data 101
9:20-10:20 a.m.
Bill Moore Success Center - President D
In this session, participants will learn about Georgia Tech’s research data domain, including proposal, award, and expenditure data. Presenters will also discuss sponsored research accounting metrics and demonstrate how reporting tools and robotic process automation support the Institute’s most critical tasks.
Library Data 101:
10:30 -11:30 a.m.
Bill Moore Success Center - President C
The Georgia Tech Library is the scholarly heart of Georgia Tech and serves as an academic and research support organization, advancing teaching, learning, scholarship, innovation, and student success. It encompasses over 70 services and supports teaching, learning, and research through research assistance, collections management, archives, records management, digital curation, instructional services, public programming, and collaborative learning environments for students, faculty, and researchers. Together, the Library and Clough Undergraduate Learning Commons (Clough or CULC), which the library manages, serve as key components of Georgia Tech’s academic ecosystem, supporting student achievement, faculty scholarship, innovative teaching, and collaborative research across the Institute. The Georgia Tech Library utilizes a robust portfolio and project management process with a commitment to continuous improvement to manage and deliver its services and provide the strongest support to the Georgia Tech community. The collection and use of data is essential to its excellence in service delivery and fulfilling its mission. In this session, library faculty will discuss the types of data we collect; how we use data to support our teaching, learning, and research, tell our stories, demonstrate our impacts on student and faculty success, assess our work, and make decisions; and develop and manage a collection that is relevant, accessible, and affordable to our community.
Budget Data 101:
10:30 -11:30 a.m.
Bill Moore Success Center - President A
This session provides an overview of how Georgia Tech uses data to power its budget. Participants will explore data sources behind revenue estimates, allocations through the Hybrid Allocation Model (HAM), and tracking of funds in OneBudget, OneUSG Connect, and Workday.
Faculty Data 101:
10:30 -11:30 a.m.
Bill Moore Success Center - President D
This session provides an overview of the key types of Georgia Tech faculty data used across the faculty lifecycle. Participants will explore core faculty data elements such as academic degrees and credentials, faculty rank, tenure status, appointment types, faculty tracks, workload assignments, and promotion and tenure information. The session will also examine how faculty data supports institutional decision-making, reporting, compliance, workforce planning, accreditation, and faculty affairs operations, helping attendees better understand the unique complexities and uses of faculty data within higher education.
Alumni Data 101:
11:40 a.m. - 12:40 p.m.
Bill Moore Success Center
President D
This session explores how alumni data supports lifelong engagement, philanthropy, and institutional advancement. Presenters will discuss the systems used to manage alumni records and demonstrate how analytics drive outreach and strengthen relationships across the Tech community.