How Data Analytics Drives Business Performance: A Study
DOI:
https://doi.org/10.55938/ijgasr.v2i3.59Keywords:
Big Data Analytics, Company Analytics, Firm Performance, TechnologyAbstract
Research about big data analytics as well as its effect on firm effectiveness is dispersed and insufficient in an attempt to incorporate the results of the latest studies. The aim of this study is to give a structured description of the efforts of huge data analytics to firm effectiveness by looking at papers published in the net of Science. This study looks at factors that influence the application of serious data analytics across various departments & categorizes the various kinds of jobs that big data analytics are able to address. The research results point to avenues for future investigation which emphasize the advantages of huge data analytics in enhancing firm efficiency through both conceptual and empirical investigation. The systematic analysis brings to light new information on the interconnection between big data analytics as well as firm effectiveness.
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Ardito l.; scuotto v.; del giudice m.; petruzzelli a.m. A bibliometric analysis of research on big data analytics for business and management. Manag. Decis. 2019.
Ishir. (2022, February 28). Data-Driven Decision Making: How to Use Data Analytics to Drive Business Decisions. ISHIR Blog. https://www.ishir.com/blog/87959/data-driven-decision-making-how-to-use-data-analytics-to-drive-business-decisions.htm
Beneventano D.; Vincini M. Foreword to the Special Issue: “Semantics for Big Data Integration”. Information 2019, 10, 68. https://doi.org/10.3390/info10020068 Bran ds, k. Big data and business intelligence for management accountants. Strateg. Financ. 2014, 96, 64–65.
ren Ji-fan s., wamba s.f., akter s., dubey r., childe s.j. Modelling quality dynamics, business value and firm performance in a big data analytics environment. Int. J. Prod. Res. 2017, 55, 5011–5026.
Khan n.; yaqoob hashem i., inayat i.a.t.z.; mahmoud ali w.k.; alam m.; shiraz m.; gani a. Big data: survey, technologies, opportunities, and challenges. Sci. World j. 2014, 2014, 18. [Performance: the roles of business analytics and flexible it infrastructure. J. Bus. Ind. Mark. 2018, 33, 970–983.
Rialti r.; marzi g., ciappei c., busso d. Big data and dynamic capabilities: a bibliometric analysis and systematic literature review. Manag. Decis. 2019.
Shi p.; cui y., xu k., zhang m., ding l. Data consistency theory and case study for scientific big data.
Snijders c.; matzat u., reips u.-d. Big data: big gaps of knowledge in the field of internet science.
Sundblad m. Nordic big data and analytics forecast 2018–2022; idc: framingham, ma, usa, march 2019.
Wamba s.f., akter s., edwards a., chopin g., gnanzou d. ‘How big data’ can make big impact:
Wamba s.f.; mishra d. Big data integration with business processes: a literature review. Bus. Process manag. J. 2017, 23, 477–492
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Copyright (c) 2023 Hiroshi Chris Katsu
This work is licensed under a Creative Commons Attribution 4.0 International License.