Data Analytics
What is Data Analytics?
Data analytics at ZU uses advanced techniques to assist university leaders, faculty, and staff in making informed data-driven decisions. The goal is to improve strategic planning by leveraging data insights.
Key Features of Data Analytics at ZU
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Intuitive Dashboards: Interactive dashboards provide data visualizations for trends and insights, including enrollment, cohort analysis, and graduation rates.
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Self-Service Data Consumption: Empowering users to generate their own reports without relying on IT support.
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Predictive Analytics: Utilizing machine learning and AI to forecast trends and identify at-risk students.
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Centralized Data: Ensuring all data is accessible from one platform.
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Data Democratization: Making data accessible to all employees and stakeholders, based on their roles.
DASS Dashboards
The DASS dashboard provides real-time data visualizations to support decision-making.
It includes:
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Enrollment Dashboard: Analysis of enrollment trends, including new and continuing enrollment by program, gender, nationality, and campus.
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Cohort Life Cycle Summary: Analysis of a specific cohort, including key performance indicators such as graduation and attrition rates.
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Attrition Rate Dashboard: Analysis of attrition trends by campus and program.
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Grade Distribution Dashboard: Provides grade distribution statistics, overall and by college.
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Just-in-Time Graduation Dashboard: Analysis of graduation rates, including the number of years students take to graduate.
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College Transfer Rate Dashboard: Analysis of student transfer rates between colleges.
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Enrollment by Scores Dashboard: Provides information on student performance based on emsat math and english scores.
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Faculty Workload Dashboard: Provides administrators with an overview of faculty instructional and non-instructional load distribution.
Benefits of Data Analytics at ZU
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Enables data tracking along key metrics.
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Supports implementation and monitoring of ZU Strategy progress through dedicated Strategic KPI dashboards.
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Facilitates colleges and academic administration to analyze enrollments using several dimensions.
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Provides a comprehensive 360-degree organizational view.
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Speeds up data processing and minimizes the need for manual data handling.
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Helps to forecast trends, make data-driven decisions, and improve strategic planning.