Education
The growing amount and variety of education institutions brings with it a greater need for resources, technology, and strategies to improve current, past and prospective student contact practices, ensuring greater graduation and recruitment rates.
How data analytics can improve education outcomes
With actionable data sourced from Artificial Intelligence and Natural Language Processing, institutions can:
Better understand students and staff
Deepen those relationships
Meet the engagement expectations of students
Manage organizational culture
Find ways to improve education outcomes such as enrolment and graduation
Put data at the center of decision making with a 360-degree view of their students
Actionable Outcomes
Enhance student insights
Predictive analysis → Enhanced student insights
Supercharge Student Understanding
Unified student profile → Improved and personalized student approach.
Assess & Predict Student Sentiment
Deep, granular customer insights → Predictive student experiences
Automate QA
Comprehensive conduct, culture and compliance management → Avoidance of legal, reputational and financial risk.
Understand Context
Enhanced understanding of student and environmental context (e.g. COVID-19)→
Informed decision-making
Real-time Employee Insights
Real-time tracking of admission/student agent engagement → Improved agent performance and retention
