首页> 外文会议>Portland International Conference on Management of Engineering and Technology >Unified Business Intelligence Ecosystem: A Project Management Approach to Address Business Intelligence Challenges
【24h】

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:应对商业智能挑战的项目管理方法

获取原文

摘要

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:本文的目的是通过将其视为生态系统而不是独立项目来探索提高商业智能项目成功率的概念。本文讨论了商业智能(BI)计划的重要性以及在实施这些计划时面临的当今挑战。重点是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流程,使用行之有效的项目管理实践来降低商业智能项目的失败率,从而采用一些最佳的项目管理适用于商业智能项目的实践。该文件研究了现有的流程,并介绍了一个新概念,此后将其称为“统一商业智能生态系统”框架(UBIE)。这项研究基于各种项目管理框架,事实证明这些框架可以提高项目效率,并提供有关商业智能项目性质,个人观察和现实世界中商业智能咨询经验的广泛研究资源。研究限制/意义: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以及对商业智能资源的访问已在业界创造了许多定义和流行语。鉴于读者在该领域的经验,本研究中描述的假设可能会引起争议。创意/价值:本文提出了不同的观点来查看和管理商业智能项目。它鼓励通过结合技术,业务和管理方面而不是单独的独立实体来将商业智能项目解释为一个生态系统。本研究报告的目的是通过定制项目管理(PM)的实践来满足商业智能项目的独特需求,从而实现商业智能的成功。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,问责制,咨询,知情— RACI。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号