Identifying similarities of big data projects–a use case driven approach

M Volk, D Staegemann, I Trifonova, S Bosse… - IEEE …, 2020 - ieeexplore.ieee.org
Big data is considered as one of the most promising technological advancements in the last
decades. Today it is used for a multitude of data intensive projects in various domains and …

[PDF][PDF] How much is Big Data? A Classification Framework for IT Projects and Technologies.

M Volk, SW Hart, S Bosse, K Turowski - AMCIS, 2016 - researchgate.net
IT Projects related to Big Data topics are often less successful than anticipated. One reason
for that is uncertainty about the suitability of Big Data technologies for certain project …

Big data adoption in project management: insights from French organizations

T Bakici, A Nemeh, Ö Hazir - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Big data have the potential to revolutionize the project management, but it is not clear how.
Despite the growing interest, there is a paucity of exploratory research to assess the practice …

A framework for describing big data projects

J Saltz, I Shamshurin, C Connors - … Workshops, Leipzig, Germany, July 6-8 …, 2017 - Springer
With the ability to collect, store and analyze an ever-growing diversity of data generated with
ever-increasing frequency, Big Data is a rapidly growing field. While tremendous strides …

Assessing the effectiveness of big data initiatives

N Rahman, F Aldhaban - 2015 Portland International …, 2015 - ieeexplore.ieee.org
There is a great enthusiasm with the prospect of big data among business and industry
leaders, academia and researchers. A lot of big data tools and technologies have emerged …

Critical success factors for big data: a systematic literature review

ZA Al-Sai, R Abdullah, MH Husin - IEEE Access, 2020 - ieeexplore.ieee.org
During the last few decades, many organizations have started recognizing the benefits of
Big Data (BD) to drive their digital transformation and to gain faster insights from faster data …

Why Big Data? Towards a project assessment framework

F Portela, L Lima, MF Santos - Procedia Computer Science, 2016 - Elsevier
Technological evolution and consequent increasing of society and organization information
dependency was an important driver to escalation of data volume and variety. At same time …

A comparative analysis of big data frameworks: An adoption perspective

M Khalid, MM Yousaf - Applied Sciences, 2021 - mdpi.com
The emergence of social media, the worldwide web, electronic transactions, and next-
generation sequencing not only opens new horizons of opportunities but also leads to the …

Big data projects: just jump right in!

H Mousannif, H Sabah, Y Douiji… - International Journal of …, 2016 - emerald.com
Purpose This paper aims to provide a roadmap for organizations to build big data projects
and reap the most rewards out of their data. It covers all aspects of big data project …

Big Data project success–a meta analysis

A Koronios, J Gao, S Selle - 2014 - aisel.aisnet.org
The past ten years has delivered breath-taking advances in technology. The vision of an
'intelligent','instrumented'and 'interconnected'world is emerging. This frenetic activity is …