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

Sachin Kumar, K. K, P. Aithal
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引用次数: 12

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.
技术-商业分析-一个基于回顾的新模型,以改善各行业的表现
目的:将ICCT底层技术与大数据技术相结合,开发一种新型的商业分析方法,可用于解决一、二、三、四产业部门的半结构化和非结构化问题。这项新研究被称为技术商业分析(TBA)。本研究的目的是为了更好地理解TBA的概念以及它如何影响公司的创新成果。设计/方法论/方法:在许多行业中,商业分析产品/服务的原创性是基于商业分析如何直接受到数据驱动文化的影响,但产品/服务的重要性受到环境扫描的间接影响,而环境扫描又受到ICCT基础技术使用的进一步影响。通过全面的回顾,分析现有状态,预测理想/期望状态,确定研究差距,并分析商业分析中的研究目标,在这项工作中开发了技术-商业分析的新概念。本文还探讨了商业分析(BA)的重要性,以及如何使用ABCD分析框架预测未来商业部门中预测商业分析的重要性和应用。本综述基于集成技术的新概念,将ICCT基础技术与大数据相结合,形成了一种新的技术-业务分析模型,用于提高不同行业部门的绩效。有了将数据科学与其他ICCT基础技术相结合的所有资源、模板、技术、机会和能力,技术-商业分析将在解决工业问题方面具有很大的潜力,成为范式转变者。原创性/价值:提出了技术-商业分析的新模型,为提高各行业的行业绩效提供了基于评论的新概念机会。还开发了一个通用架构,它着眼于第一、第二、第三和第四产业部门的技术业务分析,对于技术效率改进目的的研究很有用。论文类型:探索性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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