Why IT Fumbles Analytics
指出，管理者用传统IT项目管理方法做大数据分析项目会失败，因为分析项目更像科学研究，需要以用户为中心、提出二阶问题、配备认知科学家、注重学习而非技术部署。
As managers seek to exploit the tremendous amounts of data now available from internal and external sources, they're likely to use the approach they use with all their IT projects-that is, they'll focus on building and deploying technology on time, to plan, and within budget. That works for projects designed to improve business processes and increase efficiency, but when it comes to extracting valuable insights from data and using information to make better decisions, managers need a different approach and mind-set. A big data or analytics project is likely to be smaller and shorter than a conventional IT initiative, such as installing an ERP system. It's also more like scientific research. Commissioned to address a problem or opportunity, such a project frames questions, develops hypotheses, and then experiments to gain knowledge and understanding. The authors have identified five guidelines for taking this voyage of discovery: � Place users-the people who will create meaning from the information-at the heart of the initiative. � Unlock value from IT by asking second-order questions and giving teams the freedom to reframe business problems. � Equip teams with cognitive and behavioral scientists, who understand how people perceive problems and analyze data. � Focus on learning by facilitating information sharing, examining assumptions, and striving to understand cause and effect. � Worry more about solving business problems than about deploying technology.