Data Analytics Research 2022

Running head: BIG DATA ANALYTICS
Big Data Analytics to Improve Student Academic Performance in Higher Education
Name of the Student
Name of the University
Author’s Note:

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BIG DATA ANALYTICS
Abstract
The objective of this research report is to understand the importance of big data analytics in
higher education sector for better improvement of academic performances for the students.
With the core ability of gauging all types of customer requirements and satisfaction through
significant analytics, the respective business gets the significant power of providing the
clients, as per their demands. Big data analytics help the organizations in creating new and
varied products for gaining high competitive advantages. The business can easily rely on the
technology for undertaking agile and quicker decisions and staying competitive for getting
involved in the distinct market. The research report has identified five distinctive
opportunities, with their challenges and relevant solutions to resolve these issues for making
the higher education sector much more effective.

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BIG DATA ANALYTICS
Table of Contents
1. Introduction............................................................................................................................3
2. Discussion..............................................................................................................................4
2.1 Opportunities obtained by Big Data Analytics for Improving Academic Performances
in Higher Education...............................................................................................................4
2.2 Challenges faced by using Big Data Analytics for Improving Academic Performances
in Higher Education...............................................................................................................8
2.3 Relevant Solutions to the Challenges faced by using Big Data Analytics for Improving
Academic Performances.......................................................................................................11
3. Conclusion............................................................................................................................13
References................................................................................................................................15

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BIG DATA ANALYTICS
1. Introduction
Big data analytics can be termed as the complex procedure for examining larger
varied sets of data for the core purpose of uncovering information like unknown correlation,
customer preference, hidden pattern and even market trend, which could help out the
organizations in making the informed business related decision (Kambatla et al. 2014). It is
often driven by the specialized analytics software and system and is responsible for providing
distinct advantages like new opportunities of revenue, more effective marketing, improvised
operational efficiency, competitive benefits over other competitors and better customer
services. Apart from the businesses, big data analytics, has also provided advantages to
education sector. It encompasses a mixture of unstructured as well as semi structured data to
ensure that the information is absolutely proper and error free.
The various tools and techniques of this big data analytics include YARN,
MapReduce, Spark, HBase, Kafka, Hive and Pig (Hu et al. 2014). The users of this big data
analytics are eventually adopting the entire idea of Hadoop Data-lake, which assists as the
major repository for the incoming raw streams of data. This type of technology is being used
in higher education or universities for gathering and up gradation of student data profiles with
the help of multiple data points. The following research report outlines a brief discussion on
the opportunities as well as challenges confronted by the big data analytics for improvement
of academic performances in higher education. Moreover, the challenges will also be
highlighted in the research report with relevant solutions.