Big Data Analytics and Visualization - Information Age Consulting

We provide our clients with implementation and consultation services of Data Analytics and Visualization and to analyze data like dat related to faculty members, students, courses, and the educational process through linking with the Student Information System (SIS) database at the universities and colleges. In this context, we provide the universities/colleges with cloud-based real-time interactive dashboards to display information and analytical statistics, charts, and indicators about admission, registration, student performance, and course and alumni data. These live interactive dashboards provide the university/college administration with a near real-time way to monitor Key Performance Indicators (KPIs) related to the educational process. In addition, the analytical dashboards allow the university/college to analyze to information, analytical indicators and statistics about academic programs and students performance. These indicators and statistics are updated every2 hours when there is any change in the student’s records in the student information system database. These live interactive web-based dashboards can be used using any computer or smart device. These interactive analytics panels also provide Data Trends Analysis and Data Clustering and Segmentation. Furthermore, we provide the university/college with forecasting analysis to predict future enrollment trends in the university/college based on enrollment data in previous years. Besides, we use data analytics to allow the university/college to apply Correlation Analysis in order to determine the correlations between factors that affect the educational process, and to discover important patterns (patterns) in the data.

Regarding utilization of Artificial Intelligence, we provide the university/college with consultation and implementation services to use Artificial Intelligence in order to apply descriptive analytics that help in evaluating the academic performance and understand current and past admission trends. This kind of analysis can provide a good value towards running the current operations of university/collge. Furthermore, the use of Artificial Intelligence to apply Predictive Analytics (using Data mining, Forecasting, Text mining, and Machine Learning) allows the university/college to answer questions like What will happen? How risky is it? In this respect, the university/college can use predictive analytics and machine learning to anticipate future admission trends, optimize recruitment efforts, and elevate academic performance. Moreover, the university/college can evolve its analytics methods from a reactive into a proactive approach to identify trends, spot weaknesses or determine conditions in order to make proper decisions about the future. Besides, predictive analysis helps in Proactive Crisis Management through identifying early warning signs and red flags about various issues/factors like students who are most likely to struggle academically. This could help in reducing students’ likelihood of dropping out. It could also offer professors a better understanding of student’s competence and learning progress.