[PDF][PDF] A state-of-the-art overview and future research avenues of self-service business intelligence and analytics

S Michalczyk, M Nadj, D Azarfar, A Maedche, C Gröger - 2020 - researchgate.net
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 …

Using semantic web technologies for exploratory OLAP: a survey

A Abelló, O Romero, TB Pedersen… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
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 …

Fusion cubes: Towards self-service business intelligence

A Abelló, J Darmont, L Etcheverry… - International Journal of …, 2013 - igi-global.com
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 …

[PDF][PDF] Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence.

P Weichbroth, JM Zurada, CM Olszak - HICSS, 2024 - mostwiedzy.pl
In traditional business intelligence (BI) settings, the collective decision-making process is
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 …

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 …

Business intelligence technology, applications, and trends

M Obeidat, M North, R Richardson, V Rattanak - 2015 - digitalcommons.kennesaw.edu
Enterprises are considering substantial investment in Business Intelligence (BI) theories and
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 …

[图书][B] Enterprise resource planning and business intelligence systems for information quality

C Caserio, S Trucco - 2018 - Springer
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 …

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 …