Web-based analytics framework for large scale competitive examinations

Data Science as a domain is fast gaining popularity as data increases manifold, generated and consumed, in the current generation of technological advancements. Techniques of Data Science can be applied to number of fields to extract actionable insights from data. One such field is of competitive examinations. In India, a wide variety of competitive examinations now-a-days is conducted and managed through sophisticated technological platforms generating high volumes of data. Analytics, at the core of data science can be used to overcome the difficulty of managing this data and gaining insights from it. Also, there is a need for a state-of-the-art platform to capture, store, preprocess and analyze this data, and visualize various outcomes to gain insights from different perspectives. This paper talks about a web-based analytics framework to analyze and visualize the trends with respect to the data of large-scale competitive examinations. We also discuss a few studies conducted using the framework, using data captured through online applications' processing for GATE, one of India's most prestigious examinations.