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Unified Business Intelligence Ecosystem: A Project Management Approach to Address Business Intelligence Challenges

机译:统一商业智能生态系统:解决商业智能挑战的项目管理方法

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The purpose of this paper is to explore a concept that improves the success rate of Business Intelligence projects by looking at it as an ecosystem rather than standalone project. This paper discusses the importance on Business Intelligence (BI) initiatives and today's challenges in implementing them. The concentration is on using proven practices of project management to reduce the failure rates of the Business Intelligence projects by evaluating currently existing Information Technology (IT) project process, Business Intelligence frameworks and a Project Vulnerability process in order to adopt some of the best project management practices that works for Business Intelligence projects. The paper studies currently existing processes and introduces a new concept which henceforth will be termed as ‘Unified Business Intelligence Ecosystem’ framework (UBIE). This research is based on various project management frameworks, those are proven to increase the efficiency of projects, and far-ranging sources of research on nature of Business Intelligence projects, personal observations and real-world Business Intelligence consulting experience. Research limitations/implications: Business Intelligence is a constantly developing field. Partial standardization and extensive availability and access to Business Intelligence resources has created many definitions and buzz words in the industry. The assumptions described in this research might seem arguable given the reader's experience in this field. Originality/value: The paper presents a different perspective to view and manage Business Intelligence projects. It encourages to interpret Business Intelligence projects as an ecosystem by combining technical, business and management aspect rather than separate, standalone entity. The aim of this research paper is to achieve Business Intelligence success by customizing Project Management (PM) practices to fit the unique need of Business Intelligence projects. Acronyms Business Intelligence — BI Project Management — PM Data Science — DS Information technology — IT Unified Business Intelligence Ecosystem — UBIE Responsibility, Accountability, Consulted, Informed — RACI.
机译:本文的目的是探索一个概念,通过看着它作为生态系统而不是独立的项目来提高商业智能项目的成功率。本文讨论了商业情报(BI)倡议的重要性以及当今在实施它们方面的挑战。通过评估当前现有的信息技术(IT)项目流程,商业智能框架和项目漏洞过程来利用项目管理的经过验证的项目管理实践来减少商业智能项目的失败率,以便采用一些最佳项目管理适用于商业智能项目的实践。本文研究目前现有的流程,并介绍了一个新的概念,从此将被称为“统一商业智能生态系统”框架(Ubie)。本研究基于各种项目管理框架,这些框架被证明可以提高项目的效率,以及商业智能项目的性质,个人观察和现实世界商业智能咨询经验的远程研究来源。研究限制/影响:商业智能是一个不断发展的领域。部分标准化和广泛的可用性和商业智能资源的访问在行业中创造了许多定义和嗡嗡声。鉴于读者在这一领域的经验,这项研究中描述的假设似乎可以说。原创性/值:本文提出了不同的视角,可以查看和管理商业智能项目。它鼓励通过结合技术,商业和管理方面而不是单独的独立实体来解释商业智能项目作为生态系统。本研究文件的目的是通过定制项目管理(PM)实践来实现商业智能成功,以满足商业智能项目的独特需求。首字母缩略词商业智能 - BI项目管理 - PM数据科学DS信息技术 - IT统一商业智能生态系统 - Ubie责任,责任,咨询,知情 - RACI。

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