The Role of Analytics Solutions in Revolutionizing Procurement Efficiency

Sandeu Bryan Mufor
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Abstract

Purpose: A better understanding of the current state of procurement analytics is the goal of this article. This paper seeks to answer three main questions: first, where do we see procurement analytics going from here? Second, how can we incorporate analytical solutions into the procurement process? Third, what new research directions do we see opening because of thinking about where we see procurement analytics going from here? Materials and Methods: Using a qualitative technique, this article compiles data from places: a survey of the relevant literature, and a look at several technological platforms both now and in the future This study's procurement analytics landscape predicts that the sourcing and supply chain tech landscape will see more dramatic changes over the next five years. Data integrity and quality challenges are limiting analytics from making substantial advancements, and sophisticated procurement analytics are presently underutilized. Findings: Findings from this research highlight the importance of companies instituting a unified strategy for gathering and preserving reliable organizational data, drawing on existing resources like expenditure analysis and contract databases. It is also necessary to replace the present haphazard methods of collecting unstructured data with a methodical data governance plan. Managing change and fostering an analytical culture are crucial components of this progression for firms. Many studies and papers that look into the future just predict the technical effects of cognitive analytics and big data in general, without delving into the practical implications, including how they will affect procurement. Implications to Theory, Practice and Policy: The analysis of this study has helped us get a better knowledge of the potential applications of business analytics and cognitive analytics in the procurement process. Additionally, it contributes to the generation of research topics that are pertinent for the future. To contribute to the current corpus of research and industry reports, this study proposes thorough implementation techniques for developing procurement technologies.
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分析解决方案在革新采购效率中的作用
目的:本文旨在更好地了解采购分析的现状。本文试图回答三个主要问题:第一,我们认为采购分析将何去何从?第二,我们如何将分析解决方案纳入采购流程?第三,通过思考我们认为采购分析将何去何从,我们看到了哪些新的研究方向?材料与方法:本文采用定性技术,汇编了以下方面的数据:对相关文献的调查,以及对当前和未来几个技术平台的展望。 本研究的采购分析格局预测,采购和供应链技术格局将在未来五年内发生更大的变化。数据完整性和质量方面的挑战限制了分析技术的长足发展,目前复杂的采购分析技术还未得到充分利用。研究结果:本研究结果强调,企业必须制定统一战略,利用支出分析和合同数据库等现有资源,收集和保存可靠的组织数据。此外,还必须用有条不紊的数据管理计划取代目前收集非结构化数据的随意方法。管理变革和培养分析文化是企业进步的重要组成部分。许多展望未来的研究和论文只是预测认知分析和大数据的技术效果,而没有深入探讨其实际影响,包括它们将如何影响采购。对理论、实践和政策的影响:本研究的分析有助于我们更好地了解商业分析和认知分析在采购流程中的潜在应用。此外,它还有助于提出与未来相关的研究课题。为了丰富当前的研究和行业报告,本研究提出了开发采购技术的全面实施技术。
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