International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023
p-ISSN: 2395-0072
www.irjet.net
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY Mr. K. Suresh Kumar1, Dr. S. Vijayarani2 Ph.D. Research Scholar, Associate Professor Department of Computer Science, Bharathiar University, Coimbatore --------------------------------------------------------------------------***-------------------------------------------------------------------------gathered over web analytics may comprise traffic flow Abstract sources, referring websites, paths taken, page views, and transformation rates. This paper discusses the basic concepts of web analytics and various research issues.
In today’s digital world, an enormous volume of data is generated from the internet, social media platforms, and smartphones. Identifying the significant insights from these data needs in-depth analysis; hence data analytics has become vital. There are different domains have produced different kinds of data. It is necessary to apply the proper techniques, strategies, and effective algorithms for analyzing these data. This paper mainly focuses on web data analysis. Several numbers of websites are available which contain many web pages. Web Analytics is the progression of exploring web data to find significant knowledge. This paper will cover the basics of web analytics, usage, features, processes, and research challenges.
The noteworthy tasks conducted during web analytics are collecting data from heterogeneous platforms, and data analysis of the data produced by the website visitors and the people who are networking with a website. Web analysis determines to measure customer activities, enhance the website’s consumer capability; drift, and advance perceptions that support to increase the business objectives. Analysis of the Web is the procedural study of online/offline designs and trends. It is a system that is employed to accumulate, quantity, describe, and analyze website information. It is used to inspect the behavior of a website and improve its web usage data. It is a strategic method of collecting data and generating reports.
Key Words: Web Analytics, E-Commerce, Web Sites, Tools
1.1 Usage and Features
1. Introduction
The basic feature of web analytics is the collection and analysis of website usage data. Web analytics is utilized for various purposes in many numbers of applications. Some of the noteworthy applications are monitoring traffic on the web, optimization techniques for e-commerce sites, marketing/advertising, web development software, information system architecture, online website performance improvement, web-based courses/programs, etc. Some of the most important uses of web analytics [2][7][8] are:
Web Analytics is a method and technology for the quantification, exploration, and visualization of web usage applications and websites. Web analytics is typically supported to examine the performance of the simple function of Hypertext Transfer Protocol (HTTP) traffic cataloging to a global suite for the procedure for tracking the data, analyzing data, and reporting the interpretations [2][4]. This process involves reviewing, reporting, and data tracking to quantify web activities together with the website use and their components like web pages, images, and videos [3][5][6]. It enables a business to retain customers, attract more visitors, and increase the money volume each customer spends. The web analytics industry and market are also growing with plenty of tools, platforms, jobs, and businesses. Further, it is not just a method for determining web traffic but it is an instrument for market and business research, assessment, and improving website effectiveness.
Improving user experience and web application design on the website. The web analysis includes optimizing website information architecture, navigation, presentation and layout of the user interaction, and web content. It also benefits user awareness and reaction forecast and improves web application features. For example, the heat map with a graphical representation of data uses a system of color coding to represent different values and is most commonly used to show user behavior on specific web pages or webpage templates.
It also helps companies to extend the outcomes of traditional values or conduct marketing drives. It offers material about the website visitor count and the page views count; or creates user behavior profiles. Data
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