Author : Kumar, s., krishna prasad, k., & aithal, p. s.,
Keyword : Business analytics (ba), icct underlying technologies, tech-business analytics, tba, industry performance, data science, big data analytics, research gap in business analytics, abcd listing
Subject : Business
Article Type : Original article (research)
DOI : 10.47992/ijaeml.2581.7000.0167
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Abstract : Purpose: Integration of ICCT underlying technologies and big data technology to develop a new kind of Business analytics that can be used to solve semi-structured and unstructured problems of various industry sectors i.e., primary, secondary, tertiary, and quaternary industry sectors. The new study is known as Tech-business analytics (TBA). The goal of this study is to better understand the idea of TBA and how it influences a company's innovation outcomes. Design/Methodology/Approach: The originality of business analytics products/services in many industries is based on how business analytics is directly influenced by data-driven culture, but product/service importance is influenced indirectly by environmental scanning, which is further influenced by the usage of ICCT underlying technologies. Through a comprehensive review, analysis of the existing state, anticipating ideal/desired status, identifying research gaps, and analysing of research objectives in business analytics, this have developed a new concept of Tech-Business Analytics in this work. The paper also examines the importance of Business Analytics (BA) and how to predict the importance and applications of projected business analytics in future business sectors using the ABCD analytical framework. Findings/Result: This review based a new concept of integrated technology that combines ICCT underlying technologies with big data leads to a new model of tech-business analytics for improving the performance of different industry sectors. With all the resources, templates, technologies, opportunities, and capabilities of integrating Data science with other ICCT underlying technologies, Tech-business analytics will a paradigm shifter with a lot of potentials in solving industrial problems. Originality/Value: The new model of tech-business analytics is developed which is a review-based new concept opportunity for improving Industry Performance in Various Industries. A generic architecture is also developed, which
Article by : Sreeramana Aithal
Article add date : 2023-03-31
How to cite : Kumar, s., krishna prasad, k., & aithal, p. s.,. (2023-March-31). Tech-business analytics – a review based new model to improve the performances of various industry sectors. international journal of applied engineering and management letters (ijaeml), 7(1), 67-91. issn: 2581-7000. retrieved from https://www.openacessjournal.com/abstract/1227