[PDF][PDF] A state-of-the-art overview and future research avenues of self-service business intelligence and analytics
Abstract Self-Service Business Intelligence and Analytics (SSBIA) is an upcoming approach
and trend that enables casual business users to prepare and analyze data with easy-to-use …
and trend that enables casual business users to prepare and analyze data with easy-to-use …
Using semantic web technologies for exploratory OLAP: a survey
This paper describes the convergence of some of the most influential technologies in the last
few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the …
few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the …
Fusion cubes: 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, ie, data that have a narrow …
decisions by enriching the decision process with situational data, ie, data that have a narrow …
[PDF][PDF] Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence.
In traditional business intelligence (BI) settings, the collective decision-making process is
often hindered by the absence of knowledge and expertise exchange among various …
often hindered by the absence of knowledge and expertise exchange among various …
Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation
J Passlick, L Grützner, M Schulz… - Information Systems and e …, 2023 - Springer
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 …
reports and analyses independently. SSBIA methods and processes are discussed in the …
ELTA: new approach in designing business intelligence solutions in era of big data
PM Marín-Ortega, V Dmitriyev, M Abilov, JM Gómez - Procedia technology, 2014 - Elsevier
Current work presents new approach for designing business intelligence solutions. In the
era of big data, former and robust analytical concepts and utilities needs to adopt …
era of big data, former and robust analytical concepts and utilities needs to adopt …
Business intelligence technology, applications, and trends
Enterprises are considering substantial investment in Business Intelligence (BI) theories and
technologies to maintain their competitive advantages. BI allows massive diverse data …
technologies to maintain their competitive advantages. BI allows massive diverse data …
Collaborative predictive business intelligence model for spare parts inventory replenishment
N Stefanovic - Computer Science and Information Systems, 2015 - doiserbia.nb.rs
In today's volatile and turbulent business environment, supply chains face great challenges
when making supply and demand decisions. Making optimal inventory replenishment …
when making supply and demand decisions. Making optimal inventory replenishment …
[图书][B] Enterprise resource planning and business intelligence systems for information quality
Nowadays, Information Technology (IT) innovations, the advent of the Internet, and the ease
of finding and sharing information are all elements that contribute to obtaining overwhelming …
of finding and sharing information are all elements that contribute to obtaining overwhelming …
A self-service supporting business intelligence and big data analytics architecture
J Passlick, B Lebek, MH Breitner - 2017 - aisel.aisnet.org
Self-service Business Intelligence (SSBI) is an emerging topic for many companies. Casual
users should be enabled to independently build their own analyses and reports. This …
users should be enabled to independently build their own analyses and reports. This …