In our Q&A article, college and university leaders discuss how their operations have changed and what institutions can do to create a more sustainable financial future. Read more!

Colleges and universities’ financial performance depends largely on tuition revenue, but forecasting this revenue source accurately is a challenging and complex process in a constantly...

Higher education is a people-intensive industry, with 60% of college and university budgets allocated to paying faculty and staff salaries and benefits. That makes recent workforce...

Over the next five to ten years, financial leaders in higher education anticipate enrollment, labor costs, inflation, and funding to be among the industry’s top challenges to financial...

Read Inside Higher Ed’s 2023 Survey of College and University Business Officers, sponsored by Syntellis, to learn more about how business leaders are feeling about the immediate future...

Colleges and universities face significant challenges in developing reliable enrollment and tuition plans, including changing demographics, varying tuition discount rates, and student...

Managing massive amounts of data across colleges and universities is challenging. Finance teams often face difficulties pulling and analyzing data from disparate sources for data-driven...

Leaders at colleges and universities nationwide are pursuing strategies to boost student recruitment and retention as they brace for significant enrollment declines expected to hit the...

Misericordia University wanted to move away from the inefficient, manual data entry processes it had used for years. Impressed with Syntellis’ deep knowledge of higher education and...

Higher-ed finance leaders need access to pertinent, easily digestible financial reporting to deliver the right information to the right people at the right time and give proper context...

For a comprehensive approach to salary and benefits planning that leverages your institution’s human resources data, driver assumptions about future rates, and budget input, Labor...

Reduced data verification from 40-80 hours to one day with Axiom