ETL and Business Analytics Correlation Mapping with Software Engineering

Paikaray, Bijay Ku.; Dube, Mahesh R.; Swain, Debabrata

doi:10.1007/978-981-33-4859-2_49

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…They are data being produced online and around the world to realise the concept of big data. Due to the difficulties involved in combining and using numerous strategies, calculations, and sophisticated programming techniques to conduct a meaningful analysis of vast amounts of information, information science is a crucial testing ground [4]. Most businesses have finished, one after the other, automating transaction processing therefore, the automation of decision-making and forecasting processes will be crucial for businesses to remain competitive in the future.…”

Section: Introduction : 11 Introduction To Data Miningmentioning

confidence: 99%

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

Kumar¹,

Aithal

2023

IJMTS

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Purpose: Tech-business analytics is a tool that integrates data analytics and ICCT underlying techniques. To simplify or solve the industry problems starts from primary industry sector to quaternary industry sector. The purpose of Tech-Business Analytics is to use technology and data analysis to improve the features and quality of products and services in various industries. This involves using data from various sources to gain insights into customer behaviour, market trends, and other factors that can impact the success of a product or service. An explorative study of Tech-Business Analytics would involve analysing the current state of data analysis in various industries and identifying areas where advanced technologies could be used to improve the quality of products and services. Design/Methodology/Approach: The methodology of Tech-Business Analytics, a proposal to improve the features and quality of products and services in various industries, would involve an explorative study using a combination of qualitative and quantitative research methods. It would involve a comprehensive approach that combines qualitative and quantitative research methods to gain a holistic understanding of the potential benefits and challenges of adopting advanced data analysis techniques in various industries. Findings/Result: It is an explorative study on Tech Business Analytics – a new proposal to improve the features and quality of Products and Services in Various Industries. Originality/Value: An explanation of how Tech-Business Analytics – a new Proposal to improve features and quality of Products and Services in Various Industries. A generic architecture is also available, which looks at 30 recently presented Tech-Business Analytics in Primary, Secondary, Tertiary, and Quaternary industry sector research proposals and is useful for technical purposes. Paper Type: Exploratory research.

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Section: Introduction : 11 Introduction To Data Miningmentioning

confidence: 99%