Understanding Big Data and Digital Business

Asep Ridwan Lubis, Dzamar Dzaki, Satria Rendi Kurniawan, Sharon Annabela, Zulfianti Nursani

Abstract


In today's digital era, the integration of big data into digital business has become a must for companies that want to thrive in a competitive market landscape. This article aims to investigate the role of big data in the context of digital business and explore the different types of big data analyses used in various sectors. The research method used is a qualitative approach through a literature study which explores the various dimensions of big data and its applications in various business domains. Data was collected from various sources such as scientific journals, books, and reliable online sources. This article discusses the basic concept of big data that includes its characteristics such as volume, velocity, variety, veracity, and value proposition. In addition, the critical success factors and challenges associated with big data implementation are also identified, underscoring the importance of aligning business strategies, fostering a data-driven culture, and investing in a robust data infrastructure. The results show that the role of big data provides valuable insights into consumer behaviour, enables sales predictions, and improves operational efficiency in digital businesses. In addition, different types of Big Data analyses have been widely applied in sectors such as healthcare, transportation, and manufacturing. In conclusion, Big Data can have a positive influence on Digital Business. Big Data helps to improve efficiency, effectiveness, and decision-making.

Keywords


Big Data; Digital Business; Decision Making; Efficiency; Effectiveness.

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DOI: https://doi.org/10.17509/mimbardik.v7i1.68380

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