Lessons from a Successful Data Warehousing Project Management

Nayem Rahman
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引用次数: 3

Abstract

This article provides an overview of project management aspects of a data warehouse application implementation. More specifically, the article discusses the project's implementation, challenges faced, and lessons learned. The project was initiated with an objective to redesign the procurement data pipeline of a data warehouse. The data flows from enterprise resource planning (ERP) system to enterprise data warehouse (EDW) to reporting environments. This project was challenged to deliver more quickly to the consumers with improved report performance, and reduced total cost of ownership (TCO) in EDW and data latency. Strategies of this project include providing continuous business value, and adopt new technologies in data extraction, transformation and loading. The project's strategy was also to implement it using some of the agile principles. The project team accomplished twice the scope of previous project in the same duration with a relatively smaller team. It also achieved improved quality of the products, and increased customer satisfaction by improving the reports' response time for management.
成功的数据仓库项目管理经验
本文概述了数据仓库应用程序实现的项目管理方面。更具体地说,本文讨论了项目的实现、面临的挑战和吸取的教训。该项目启动的目的是重新设计数据仓库的采购数据管道。数据从企业资源规划(ERP)系统流向企业数据仓库(EDW),再流向报表环境。该项目面临的挑战是,通过提高报告性能、降低EDW中的总拥有成本(TCO)和数据延迟,更快地向消费者交付报告。该项目的策略包括提供持续的业务价值,并在数据提取、转换和加载方面采用新技术。该项目的策略也是使用一些敏捷原则来实现它。项目团队在相同的时间内用一个相对较小的团队完成了之前项目范围的两倍。它还实现了产品质量的改进,并通过改进报告的管理响应时间提高了客户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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