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SELF-SERVICE BUSINESS INTELLIGENCE RESULTING IN DISRUPTIVE TECHNOLOGY

机译:分布式技术中的自助式商业智能

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摘要

Self-Service Business Intelligence (BI) requires a much greater consideration of the knowledge workers or reporting and analytics users' point of view than in traditional reporting. In order to meet the reporting and analytics users' needs, much greater interaction with the BI users was required because the awareness that those doing the development frequently did not share the reporting and analytics users' perspective or even understand it. The purpose of this Self-Service Business Intelligence effort was to provide customers with a window into available business data, so they can easily manipulate their data to answer business questions. This effort explores some of the disruptive technology available to empower a significantly more information-capable customer. In providing Self-Service Business Intelligence, a significant amount of cost savings can be achieved through better communication between business and information technology (IT) individuals, reducing the required development staff in IT, and increasing agility of the enterprise by using the agreed upon Semantic definition of terms and making the business data more accessible.
机译:与传统报告相比,自助服务商业智能(BI)需要更多地考虑知识工作者或报告和分析用户的观点。为了满足报表和分析用户的需求,需要与BI用户进行更大程度的交互,因为人们意识到进行开发的人员经常不会共享报表和分析用户的观点,甚至无法理解。这种自助式商务智能工作的目的是为客户提供可用业务数据的窗口,以便他们可以轻松地操纵其数据来回答业务问题。这项工作探索了一些颠覆性技术,可为具有更多信息能力的客户提供支持。在提供自助式商业智能时,可以通过业务与信息技术(IT)个体之间更好的沟通,减少IT中所需的开发人员以及通过使用约定的语义来提高企业的敏捷性来实现大量成本节省。术语定义,使业务数据更易于访问。

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