BIG DATA ANALYTICS: A REVIEW OF ITS TRANSFORMATIVE ROLE IN MODERN BUSINESS INTELLIGENCE

Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, Osato Itohan Oriekhoe
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Abstract

In the dynamic landscape of modern business intelligence, Big Data Analytics has emerged as a transformative force, reshaping the way organizations derive insights from vast and diverse datasets. This paper provides a concise overview of the key themes explored in the comprehensive review of Big Data Analytics and its impact on modern business intelligence. Big Data Analytics represents a paradigm shift in decision-making processes, offering organizations the capability to harness the full potential of their data assets. The review delves into the multifaceted role of Big Data Analytics, emphasizing its significance in strategic planning, risk management, operational optimization, and customer-centric initiatives. Strategic planning takes a quantum leap forward as organizations leverage predictive analytics to anticipate market trends. The integration of analytics-derived insights aligns decision-making with overarching organizational objectives, driving a more informed and forward-thinking approach to strategic initiatives. Risk management becomes more proactive with the integration of Big Data Analytics, particularly in fraud detection and prevention. The ability to process large volumes of data in real-time enhances vigilance, mitigating financial risks associated with fraudulent activities cenario modeling further empowers organizations to assess and address potential risks before they materialize. Operational optimization becomes a focal point as analytics uncovers inefficiencies in manufacturing processes, supply chains, and retail operations. Real-time decision-making in retail, enabled by data analytics, ensures agility and responsiveness to changing market dynamics and customer preferences. Customer-centric initiatives are elevated through personalized marketing campaigns and predictive analytics in customer support. The review explores how Big Data Analytics enables organizations to craft personalized experiences, enhancing customer satisfaction and loyalty. The study encapsulates the transformative journey of Big Data Analytics in modern business intelligence, emphasizing its role in navigating strategic complexities, mitigating risks, optimizing operations, and placing the customer at the center of decision-making processes. The comprehensive review provides insights for organizations seeking to harness the transformative potential of Big Data Analytics in the data-driven era. Keywords: Big Data, Business Intelligence, Data Analytics, Modern Business, Review.
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大数据分析:评述大数据分析在现代商业智能中的变革作用
在充满活力的现代商业智能领域,大数据分析已成为一股变革力量,重塑了企业从庞大而多样的数据集中获取洞察力的方式。本文简要概述了在对大数据分析及其对现代商业智能的影响进行全面评述时所探讨的关键主题。大数据分析代表了决策流程的范式转变,为企业提供了充分挖掘数据资产潜力的能力。综述深入探讨了大数据分析的多方面作用,强调了它在战略规划、风险管理、运营优化和以客户为中心的计划中的重要意义。当企业利用预测性分析来预测市场趋势时,战略规划就有了质的飞跃。整合分析得出的洞察力可使决策与组织的总体目标保持一致,从而推动对战略举措采取更明智、更具前瞻性的方法。通过整合大数据分析,风险管理变得更加积极主动,尤其是在欺诈检测和预防方面。实时处理大量数据的能力提高了警惕性,降低了与欺诈活动相关的财务风险。随着分析技术发现生产流程、供应链和零售运营中的低效之处,运营优化成为一个焦点。数据分析支持零售业的实时决策,确保对不断变化的市场动态和客户偏好做出敏捷的反应。通过个性化营销活动和客户支持中的预测分析,以客户为中心的举措得到了提升。评论探讨了大数据分析如何帮助企业打造个性化体验,提高客户满意度和忠诚度。该研究概括了大数据分析在现代商业智能中的变革历程,强调了其在驾驭战略复杂性、降低风险、优化运营以及将客户置于决策流程中心的作用。这篇综合评论为企业在数据驱动时代寻求利用大数据分析的变革潜力提供了见解。关键词大数据、商业智能、数据分析、现代商业、评论。
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