商业智能
敏捷软件开发
商业分析
知识管理
分析
数据科学
大数据
敏捷统一过程
计算机科学
敏捷可用性工程
工程类
业务分析
商业模式
业务
营销
数据挖掘
软件工程
软件开发
程序设计语言
软件开发过程
软件
作者
Deanne Larson,Victor Chang
标识
DOI:10.1016/j.ijinfomgt.2016.04.013
摘要
Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions.
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