User-Related Challenges of Self-Service Business Intelligence

Implementation Challenges of Self Service Business Intelligence: A Literature Review

In a traditional Business Intelligence (BI) system, power users serve less experienced casual users. Power users analyze and gather data requested by casual users, and produce the reports and visualizations that casual users base their decisions on. When data volumes and the usage frequency of a traditional BI system increase, power users have problems serving all the requests from casual users...

Towards Self-Service Business Intelligence

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, a...

KNOBI - knowledge-based business intelligence for business user information-self-service

Self-service Business Intelligence for Higher Education Management

Higher education institution management faces the challenge of improving study process quality and efficiency. Employable graduates are the result every education institution wishes to produce. Graduation rate is therefore crucial key performance indicator (KPI) important in many national models of financing higher education institutions. To achieve performance improvements of institution under...

Business Intelligence Systems Optimization to Enable Better Self-Service Business Users

The success of the enterprise depends heavily on its decisions. Therefore, companies use Business Intelligence (BI) systems to support managers in their decision making process. However, the acceptance and usage of BI systems by end-users (business users) don’t reach the expected goals. This is because of the high complexity and the irrelevance of delivered information. Business users can’t use...