Tech-Business Analytics – a Review-based New Model to Improve the Performances of Various Industry Sectors

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 looks at Tech Business Analytics in Primary, Secondary, Tertiary, and Quaternary industry sectors and is useful for research for technical efficiency improvement purposes. Paper Type: Exploratory research.

Tech-Business Analytics – a New Proposal to Improve Features and Quality of Products and Services in Various Industry Sectors – An Explorative Study

“…Based on the research and the above technology model, we propose Tech-Business Analytics Model as working in primary to quaternary industry sectors and compare them with subsets of big data, ICCT underlying technologies. It is the advanced version of all the recent technology models on which future technology trends will be coming [39].…”

“…According to the current trend, massive amounts of data are currently being sent. Businesses must start at the bottom of the pyramid and work their way up by synthesizing aggregate intelligence from all available sources to get the most out of tech-business analytics [38][39]. In conclusion, Tech-Business Analytics is a proposal to improve the features and quality of products and services in various industries by leveraging advanced technologies and data analysis techniques.…”

Tech-Business Analytics in Tertiary Industry Sector

“…Leverage Machine Learning: Integrate machine learning algorithms to uncover complex patterns in large datasets, enabling more accurate predictions and personalized customer experiences (11). Real-Time Analysis: Consider real-time data analysis to make rapid decisions in response to changing market dynamics or customer preferences (12). Visualize Insights: Use data visualization tools to present insights in a visually engaging manner, facilitating better understanding and communication among stakeholders.…”

“…Visualize Insights: Use data visualization tools to present insights in a visually engaging manner, facilitating better understanding and communication among stakeholders. (13) A/B Testing: Implement A/B testing for marketing campaigns or service offerings to evaluate which strategies yield the best results (14). Invest in Training: Provide training to employees involved in TBA processes to ensure they have the necessary skills to analyse data effectively and derive actionable insights (15).…”

Advances and New Research Opportunities in Quantum Computing Technology by Integrating it with Other ICCT Underlying Technologies

“…ABCD analysis framework is suggested systematically in 2015 by Aithal, P. S. et al(69)(70)(71)(72)(73). Further ABCD analysis framework is extended under four headings as: (1) ABCD listing[74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89], (2) ABCD stakeholders' analysis[90][91][92][93][94][95][96], (3) ABCD factors and elementary analysis[97][98][99][100][101][102], and (4) ABCD quantitative analysis[103][104][105][106][107][108][109][110][111][112]. In this section, ABCD listing analysis of Quantum Computing technology by integrating it with other ICCT underlying technologies is carried out.…”