Institutional research is crucial to providing college and university leadership with the data required to make the most informed strategic decisions, across a broad range of areas including admissions, academics, finance, enrollment, retention, staffing, facilities and more.
Colleges and universities are under intense pressure to meet enrollment goals, improve retention rates, and shorten time to completion. Predictive analytics can play a crucial role in these efforts by providing insights that guide strategic decision making, improve enrollment management and promote student success.
Colleges and universities are facing a wide variety of business and finance challenges, but many are finding creative solutions.
Campus cards are a critical component of campus life, serving not only as a student’s identification, but also providing access to facilities, meals, disbursement funds, events and more, interconnecting the institution and the community. New technologies are continually expanding the capabilities of campus cards, including the physical form they take.
Higher education is in the business of learning, but all too often, institutions fail to extend learning to staff members, by failing to provide professional development opportunities.
Document management through Enterprise Content Management (ECM) holds tremendous potential for improving business operations—as well as information security and recordkeeping compliance—by streamlining processes and enabling colleges and universities to do more with less.
In the Creighton University business office, administrators challenged with balancing the delivery of high-quality, hands-on customer service to students and families with the heavy workload that came with managing the university’s tuition payment options manually.
Why do students persist? Although there are some commonalities, the answer is different at every institution. Predictive modeling seeks to answer the question of why students persist by discovering hidden relationships in data. By leveraging a clear picture of past and present behavior, predictive modeling uses statistical analysis to generate a confident simulation of future behavior.
The ways in which stakeholders across an institution—administrators, faculty and staff members—think about student success will dramatically influence how they program, intervene, and ultimately structure efforts to identify at-risk students and help them succeed.
The Payment Card Industry Data Security Standard (PCI DSS) was developed to encourage and enhance cardholder data security and facilitate the broad adoption of consistent data security measures globally. Version 3.2 is being released now and includes a number of updates.