Data-Driven Student Insights
Why Student Data Mining And Predictions For Success?
Use your educational institutions existing data to gain in-depth insights into student behavior and patterns which will enable you to make valuable predictions and steer your communication and marketing strategies accordingly.
By focusing your efforts on where they are needed you can profile students and drive interactions, accordingly to ensure educational success.
A data-centric understanding of your students
Identifying lagging student and educator profiles that have the potential to become leading performers
Identifying success factors for academic excellence and steering career choices accordingly
Highlighting lagging accounts and success factors to assist with payment realisation
Create diverse ideal-student models to ensure that you never miss an opportunity
Drive data-driven marketing communications initiatives
Get actionable insights into your students and educational staff.
Features
Maximise student engagement success factors
Monitor student relationships
Reduce student attrition
Enable tailored communications
Drive meaningful student and staff engagements
Personalise student journeys
Integrating technologies to get the most out of your education transformation
Mint empowers the education industry through a combination of Artificial Intelligence, Cognitive Computing, and Dynamics 365 technologies.
Data-Driven Insights accesses existing data to identify patterns and trends and arm educators with data that enables targeted decisions and strategies, future outcome predictions, and disruption, with more certainty and success.
Driving Education Of The Future
Educators have over the past decade been immersed in digital transformation. Now, Artificial Intelligence introduces disruptive processes and methods to engage audiences and enable educators to truly connect and engage.
Existing data is used to drive student acquisition and retention strategies by tapping into the unique requirements and behaviors of an education institute’s past and current student base, educational programmes and initiatives.
Based on past data and behaviors future predictions are made to steer all operational initiatives towards success. Student feedback is captured and applied to predict and perfect all future engagement, increasing an institution’s success rate.