As a decision maker in the Education sector, your information and insights needs are wide and varied, with some of the important events and activities ranging from student enrollment, performance assessment and management to career counseling and alumni development.

QUICKLOGIX solutions for the Education sector help you gain unprecedented insights into the factors that influence and impact each such event in the course of a semester life cycle.

The Da Vinci big-data gateway mashes streams sourced from campaign management data, student data, academic performance data, financial aid and student contribution, social sentiments, competitive sentiments, students’ interactions in social media and class participation data. Data pertaining to students’ experiences, demographic and economic backgrounds on different cohorts, as well as external macroeconomic influencer data such as unemployment, state taxes and consumer price index is input to perform cross sectional analysis.

A common situation faced with many an institution is that a number of students leave the program after the first few terms, mostly around the first tem. In such a case, your goal would be to gain insight about the drop patterns, determine the revenue impact and find the critical factors that influence a student drop.

QUICKLOGIX solutions can be effectively deployed to analyze the student drop patterns and their revenue impacts, to define and execute corrective actions.

To illustrate, a five-step analysis process could be used.

  • A time window analysis of student retentions and drops, normally called as a survival analysis is conducted,
  • We next relate the outcome of the analysis with different factors of student’s experience, demographic and economic background on different cohorts over a period of time.
  • External influencers such as unemployment, state taxes, consumer price index are the added and mapped
  • A cross-sectional analysis is performed to reveal the factors influencing the drops during different terms
  • Based on very specific outcomes of the solution, actionable measures are suggested to achieve increased retention rates.