Liaison International Integration Adds Predictive Analytics to CRM Platform

Liaison International, provider of technology and services for recruitment, admissions, enrollment and student success, has introduced a new integration that combine its Othot predictive and prescriptive analytics tools with its TargetX constituent relationship management platform. The integration is part of Liaison's Total Enrollment solution announced in October, an effort to marry disparate student success tools, eliminate siloes and optimize workflows across the student lifecycle.

TargetX CRM users will now be able to access Othot's suite of analytics, predictive models and data visualization tools to inform student support, financial aid and more. For example, the tools allow users to fine-tune financial aid packages for individual students in order to maximize their impact, forecast a student's likelihood of retention, and boost student persistence, according to a news announcement. The combination of CRM with predictive modeling also can provide "a greater degree of insight into the barriers to enrollment and completion facing prospective and current students, enabling institutions to address issues of affordability, equity and completion," the announcement noted.

"This is a complex and challenging time for higher education. Reliable predictive and prescriptive insights can chart the path to overcoming oft-hidden barriers that students face — barriers to degree completion and student success," said Andy Hannah, president and co-founder of Othot, a Liaison company, in a statement. "The same tools used to guide and communicate with students during their journeys can provide us with rich, predictive insights to inform a more targeted approach to student outreach, support and financial aid."

For more information, visit the Liaison site.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • stylized illustration of people conversing on headsets

    AI and Our Next Conversations in Higher Education

    Ryan Lufkin, the vice president of global strategy for Instructure, examines how the focus on AI in education will move from experimentation to accountability.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • Blue metallic mesh fabric folds

    Microsoft Acquires Osmos for Agentic AI Data Engineering

    In a strategic move to reduce time-consuming manual data preparation, Microsoft has acquired Seattle-based startup Osmos, specializing in agentic AI for data engineering.