The Roles of Big Data in the Decision-Support Process: An Empirical Investigation

Poleto, Thiago; Carvalho, Victor Diogho Heuer de; Costa, Ana Paula Cabral Seixas

doi:10.1007/978-3-319-18533-0_2

Cited by 35 publications

(21 citation statements)

References 19 publications

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“…The Big Data phenomenon [16], generally, and the analysis of very large data sets also plays an important role in the process of rich business insights creation [9]. Big Data is a source of many opportunities in multiple areas, like an increase in operational efficiency, creation of informed strategic decision, and also better customer service, etc.…”

Section: B Pwm and Sales Data Vectorizationmentioning

confidence: 99%

B2B Price Management using Price Waterfall Model and Business Intelligence solution

Senczyna¹,

Němec²

2018

Annals of Computer Science and Information Systems

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The price setting and negotiation process in the B2B field is a complex process that requires a solid methodology and usually also advanced IT tools to make the process as efficient as possible. The Price Waterfall model is a flexible tool that allows for making the final price determination and revenue creation task much more manageable. In this paper, we introduce a software solution which integrates functionalities of a standard Business Intelligence system with a methodology given by the idea of the Price Waterfall model. The tool is designed as a dedicated decision-making support tool, with a complex internal workflow that should be applied within the price and revenue management process, to induce profitability of the whole business through informed decisions.Competition project SP2018/146 "Evaluation of comparison applications using cognitive analysis and the Data Envelopment Analysis method".

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Section: B Pwm and Sales Data Vectorizationmentioning

confidence: 99%

B2B Price Management using Price Waterfall Model and Business Intelligence solution

Senczyna¹,

Němec²

2018

Annals of Computer Science and Information Systems

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“…The world is linked together, and customers' preferences change constantly. Therefore, different communication channels can be checked, and tracking specific profiles or decision makers' behavior can be tracked and monitored [38]. Additionally, firms are rightly seeing data as assets that they are underwriting.…”

Section: Why Business Intelligence and Data Analyticsmentioning

confidence: 99%

Business Intelligence and Data Analytics as a Driver of Dynamic Capability Strategic Approach

Dabab

Weber

2018

2018 Portland International Conference on Management of Engineering and Technology (PICMET)

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Papers addressing the Dynamic Capability (DC) approach either support it as the best strategy or express its defects and impediments to implementation. However, this paper aims to promote the DC through the means of digital transformation from the angle of Business Intelligence and Data Analytics (BIDA). This article employs the logic of matching the essential components of the DC and BIDA to verify the extent of their conformity. A literature review methodology has been adopted since there are a considerable number of publications that focus on DC and BIDA. This paper posits that the main components of DC are sensing and exploring changes, seizing opportunities, and managing reconfiguration and transformation. Whereas, the features of knowledge discovery, decision support, predicting changes and risks are related to the BIDA. Additionally, this study found that the BIDA has a significant positive effect on the DC and helps to achieve a competitive advantage. By drawing the connection and demonstrating the impact of the essential elements of DC and BIDA, this article shows the vital framework of how the BIDA supports the DC. Finally, some limitations and gaps that provide suggestions for future research in this area are discussed.

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“…For example, the research paper by [8], presented a theoretical examination of organizational and technical elements within the process of decision making, by exploring the interrelated relationships between Big data and business intelligence within the context of decision making. They discussed the potential…”

Section: Related Workmentioning

confidence: 99%

A Framework for Effective Big data Analytics for Decision Support Systems

Islam¹,

Alfakeeh²,

Nadeem³

2017

ijcna

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-Supporting decision makers requires a good understanding of the various elements that affect the outcomes of a decision. Decision Support Systems have provided decision makers with such insights throughout its history of usage with varying degrees of success. The availability of data sources was a main limitation to what decision support systems can do. Therefore, with the advent of improved analytical methods for Big data sources new opportunities have emerged that can possibly enhance how decision makers analyze their problem and arrive at decisions using information systems. This paper analyzed current related works on both Big data and decision support systems to identify clear elements and factors relevant to the subject and identifying possible ways to enhance their joint usage. Finally, the paper proposes a framework that integrates the key components needed to ensure the quality and relevance of data being analyzed by decision support systems while providing the benefits of insights generated over time from past decisions and positive recommendations.

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The Roles of Big Data in the Decision-Support Process: An Empirical Investigation

Cited by 35 publications

References 19 publications

B2B Price Management using Price Waterfall Model and Business Intelligence solution

B2B Price Management using Price Waterfall Model and Business Intelligence solution

Business Intelligence and Data Analytics as a Driver of Dynamic Capability Strategic Approach

A Framework for Effective Big data Analytics for Decision Support Systems

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