The use of end-to-end data mining methodologies such as CRISP-DM, KDD process, and
SEMMA has grown substantially over the past decade. However, little is known as to how …

Abstract In a traditional Business Intelligence (BI) system, power users serve less
experienced casual users. Power users analyze and gather data requested by casual users …

Self-service analytics (SSA) is an element in the Business Intelligence (BI) sector that aids
workers in generating reports and acquiring information on their own. The part involves …

ABSTRACT Self-service Business Intelligence (SSBI) allows non-technical users to use
Business Intelligence in a self-reliant manner without the support of technical users. Many …

Self-service business intelligence and analytics (SSBIA) empowers non-IT users to create
reports and analyses independently. SSBIA methods and processes are discussed in the …

ABSTRACT In traditional Business Intelligence (BI), there is a request-response scenario
between technical power users serving non-technical casual users. Today, when data …

Small medium enterprises (hereinafter: SME) represent 99.8% of firms in the non-financial
business sector of the European Union. SME's cover three different types of companies …

The amount of data has rapidly increased due to the evolution of big data. Data is utilized
nowadays in many places on both strategic and operational levels as it can enable …

Self-service has recently become a defining feature of business intelligence (BI) and
analytics platforms. Self-service Business Intelligence (SSBI) enables business users to …

Objective: The present work aimed to highlight a technical decision-making process that can
be used for price management and decisions, using technology for analysis and testing with …