Tech Business Analytics in Quaternary Industry Sector

Author:

Kumar Sachin1,K. Krishna Prasad2,Aithal P. S.3

Affiliation:

1. Dept. of Information Technology, Management Education & Research Institute (MERI), Affiliated to GGSIP University, New Delhi., India

2. Institute of Computer & Information Science, Srinivas University, Mangalore, India

3. Institute of Business Management & Commerce, Srinivas University, Mangalore, India

Abstract

Purpose: The knowledge-based segment of the economy is referred to as the "quaternary sector," which comprises businesses like information technology, telecommunications, research and development, and other professional services. Businesses in this industry may find that technology-driven business analytics greatly aids in helping them to make data-driven decisions, optimize workflows, and enhance overall performance. Utilizing technology to analyse business analytics can significantly improve market trends, consumer behaviour, and an organization's operational performance. Through analysis of this data, companies can make more informed decisions that support expansion and competitiveness. Analytics tools assist companies in identifying inefficiencies in their processes and operations so they can make changes that reduce expenses, boost output, and ultimately boost revenue. Customer loyalty and satisfaction may rise as a result of this. Information regarding emerging technologies and their integration with data science and business analytics may support to prediction of market trends and could present companies with chances for growth and innovation. Methodology: There are particular potential and challenges for business analytics in the Quaternary industry sector because of its emphasis on knowledge-based activities, innovation, and cutting-edge technology. Here, we present a methodical strategy for using technology for analytics in this industry, allowing businesses to obtain useful information for long-term planning calculations. This approach gives businesses in the Quaternary industry sector a methodical framework for utilizing technology-driven analytics. This framework helps them obtain competitive advantages in an increasingly data-driven business environment by helping them access important insights and spur innovation. Findings/Result: The study looks at how digital business analytics have been used to control growth in the Quaternary sector from the birth of the industry to the present. Originality/Value: An explanation of how tech business analytics differs from traditional business analytics within the Quaternary industry. It also includes a general design that can be used for technical purposes, and it examines thirty recently submitted research recommendations related to Tech Business Analytics in Quaternary industries. Paper Type: Exploratory research.

Publisher

Srinivas University

Reference140 articles.

1. Aithal, P. S. (2019). Information communication & computation technology (ICCT) as a strategic tool for industry sectors. International Journal of Applied Engineering and Management Letters (IJAEML), 3(2), 65-80.

2. Aithal, P. S. (2018, December). Emerging Trends in ICCT as Universal Technology for Survival, Sustainability, Differentiation, Monopoly and Development. In Proceedings of National Conference on Advances in Information Technology, Management, Social Sciences and Education, 3(2). 130-141.

3. Aithal, P. S. (2019, October). Industrial Applications of Information Communication & Computation Technology (ICCT)–An Overview. In Proceedings of National Conference on Recent Advances in Technological Innovations in IT, Management, Education & Social Sciences 3(1), 165-180.

4. Aithal, P. S., & Aithal, S. (2019). Management of ICCT underlying technologies used for digital service innovation. International Journal of Management, Technology, and Social Sciences (IJMTS), 4(2), 110-136.

5. Aithal, P. S., & Aithal, S. (2019, October). Digital service innovation using ICCT underlying technologies. In Proceedings of International Conference on Emerging Trends in Management, IT and Education .1(1), 33-63.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tech-Business Analytics in the Circular Economy;International Journal of Management, Technology, and Social Sciences;2024-05-30

2. Tech-Business Analytics in Blue Economy;International Journal of Applied Engineering and Management Letters;2024-05-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3