Self-Service Business Intelligence Resulting in Disruptive Technology

Abstract

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.

• Business Intelligence
• Self-Service BI
• Semantic Definition
• Semantic Layer
• Enterprise Data Taxonomy
• Disruptive Technology