Design science research contribution to business intelligence in the cloud—A systematic literature review

OS Mwilu, I Comyn-Wattiau, N Prat - Future Generation Computer Systems, 2016 - Elsevier
Business intelligence (BI) helps managers make informed decisions. In the age of big data,
BI technology provides essential support for decision making. Cloud computing also attracts …

Business demand for a cloud enterprise data warehouse in electronic healthcare computing: Issues and developments in e-healthcare cloud computing

A Onyebuchi, UO Matthew, JS Kazaure… - International Journal of …, 2022 - igi-global.com
Cloud enterprise data warehousing is a top level strategic business and information
technology (IT) investment initiative in any organization that is technologically inclined, profit …

HealtheDataLab–a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions

L Ehwerhemuepha, G Gasperino, N Bischoff… - BMC medical informatics …, 2020 - Springer
Background There is a shortage of medical informatics and data science platforms using
cloud computing on electronic medical record (EMR) data, and with computing capacity for …

Integrating business intelligence with cloud computing: State of the art and fundamental concepts

H El Ghalbzouri, J El Bouhdidi - … and Security: Proceedings of NISS 2021, 2022 - Springer
The majority of the problems that organizations are currently facing is the lack of use of cloud
computing as shared resources, and it is always looking to become smarter and more …

RVLBPNN: A workload forecasting model for smart cloud computing

Y Lu, J Panneerselvam, L Liu, Y Wu - Scientific Programming, 2016 - Wiley Online Library
Given the increasing deployments of Cloud datacentres and the excessive usage of server
resources, their associated energy and environmental implications are also increasing at an …

Investigating occupational and operational industrial safety data through Business Intelligence and Machine Learning

R Patriarca, G Di Gravio, G Antonioni… - Journal of Loss …, 2021 - Elsevier
Learning from previous events represents a crucial element to improve the design and
operations of industrial processes, especially considering the many variables characterizing …

[PDF][PDF] The development of performance dashboard visualization with power BI as platform

S Widjaja, T Mauritsius - International Journal of Mechanical …, 2019 - academia.edu
In the last couple years, Indomobil, one of the largest automotive companies in Indonesia,
has been suffering from decline in revenue and net loss. Competition in automotive …

A consensus-based multicriteria group decision model for information technology management committees

AS Lima, JN de Souza, JAB Moura… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Reaching consensus on decisions-especially when they involve multiple criteria, uncertainty
and risk-is a major challenge that Information Technology (IT) Management Committees …

A model of business intelligence on cloud for managing SMEs in COVID-19 pandemic (Case: Iranian SMEs)

F Hamidinava, A Ebrahimy, R Samiee, H Didehkhani - Kybernetes, 2021 - emerald.com
Purpose The purpose of this study was to demonstrate a cloud business intelligence model
for industrial SMEs. An initial model was developed to accomplish this, followed by …

Do strategy, processes, personnel and technology affect firm's propensity to adopt cloud computing? An empirical investigation

N Kyriakou, EN Loukis - Journal of enterprise information …, 2019 - emerald.com
Purpose Previous empirical research on cloud computing (CC) adoption factors has
examined the effects of only a small number of firm's characteristics on CC adoption. The …