Didžiųjų Duomenų Naudojimas Klientui Pažinti / Model of the Big Data Use for Customer Cognition

Politaitė, Simona; Sabaitytė, Jolanta

doi:10.3846/mla.2018.932

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Starting evaluation from a historical point, a number of interpretations and debates are identified and in general represents 2 major positions: a) The term originated in the middle of 1990s and evolved from organization practices and combinations towards fields of computer science, statistics and econometrics. The main person at this is point is John Mashey from Silicon Graphics Inc. (SGI) and his presentation in 1998 where this term was mentioned first time in public (Diebold, 2012 Politaitė, Sabaitytė, 2018). The overall development of the analysed term, both in historical and semantical meanings, can be illustrated in a simplified way in Figure 1.…”

Section: Literature Overview Of Studies On Big Data: Theoretical Insimentioning

confidence: 99%

“…Thus, an adoption of automation and digitalization ideas has rocketed as service optimization via bots and other automation solutions has become inevitable. In past few years, an integrated value (for customers and organizations) creation and measurement of its influence, complementary organizations networks and ecosystems have become a dominant topic here (Prince, 2017;Ogrean, 2018;Politaitė and Sabaitytė, 2018).…”

Section: Application Of Big Data Analytics In E-mass Service Customizmentioning

confidence: 99%

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Application of Big Data Analytics in Customization of E-mass Service: Main Possibilities and Obstacles

Baranauskas

2019

Management of Organizations: Systematic Research

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The paper is based on a scientific literature analysis and, by examining scientific insights, it focuses on the assumption that Big Data Analytics (BDA) is an alternative used in modern organizations in decision making at e-mass service customization. An overall orientation to BDA application in management processes is presented as a useful construct not only for improving the decision-making procedure but also as a relevant source for strategic planning, process and cost optimization activities as well as for changes in supply chain and risk management. The data was obtained through the scientific literature analysis and systematized theoretical insights of the BDA influence in both possibility and obstacle dimensions to e-mass service customization.

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Section: Literature Overview Of Studies On Big Data: Theoretical Insimentioning

confidence: 99%

Section: Application Of Big Data Analytics In E-mass Service Customizmentioning

confidence: 99%

Application of Big Data Analytics in Customization of E-mass Service: Main Possibilities and Obstacles

Baranauskas

2019

Management of Organizations: Systematic Research

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Application of Big Data in the Financial Audit Procedures

Nagytė

Dagilienė

2021

BATP

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Annotation. Big Data (BD) is one of the most commonly used terms in the modern world of business and information technology. The main features of BD (quantity, speed, and variety) introduce to unique processing of large information amounts, regardless of their scale, storage and computational complexity, analytical and statistical correlation. The significant emergence and potential use of BD has affected business accounting and financial auditing by replacing the long-used mechanical data collection and completion processes with automatic ones, comparing and searching for correlations between different structure and nature data. According to analysis, the main advantages of applying the BDA in the audit process are related to faster and more efficient execution of procedures, obtaining more detailed results, grouping and comparing data according to selected criteria. In the meantime, cons of BD application are related to the additional professional supervision requirements and the proper data analysis in order for the correct results interpretation. The paper presents the conceptual model, which shows the relationships between BDA tools and financial audit procedures. In addition, the model shows factors and risks, which have impacts on internal and external environment of clients, the applicability of specific audit procedures. It was found that the application of the model in the procedures includes testing of 5 relationships, i. e. classification, clustering, regression and time series analyses, the method of association rules and text research, visualization tool. The Aim of the Study is to identify the application of DDA tools in financial audit procedures. Research Methods: comparative and systematic analysis of the literature; content analysis; statistical data analysis; graphical analysis. Keywords: Big data, Big data Analytics, Financial Audit, Financial Audit Procedures. JEL Code: M15, M40, M42.

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Verslo valdymas informaciniame amžiuje

Davidavičienė¹,

Davidavičius²,

Lapinskienė³

et al. 2020

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Didžiųjų Duomenų Naudojimas Klientui Pažinti / Model of the Big Data Use for Customer Cognition

Cited by 4 publications

References 27 publications

Application of Big Data Analytics in Customization of E-mass Service: Main Possibilities and Obstacles

Application of Big Data Analytics in Customization of E-mass Service: Main Possibilities and Obstacles

Application of Big Data in the Financial Audit Procedures

Verslo valdymas informaciniame amžiuje

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