Predicting outcomes for big data projects: Big Data Project Dynamics (BDPD): Research in progress

DK Becker - 2017 IEEE international conference on big data …, 2017 - ieeexplore.ieee.org
The number and importance of Big Data projects is increasing, but unfortunately, a large
proportion of Big Data projects are failing. The ability of organizations to manage these …

Software engineering for big data projects: Domains, methodologies and gaps

VD Kumar, P Alencar - … Conference on Big Data (Big Data), 2016 - ieeexplore.ieee.org
Context: Big data has become the new buzzword in the information and communication
technology industry. Researchers and major corporations are looking into big data …

What are my users looking for when preparing a big data campaign

C Ardagna, P Ceravolo, GL Cota… - … Congress on Big …, 2017 - ieeexplore.ieee.org
This paper describes the process to elicit and classify the requirements of a Big Data-as-a-
service platform. The paper provides an overview of the analysis performed on the general …

An iterative methodology for big data management, analysis and visualization

R Tardio, A Mate, J Trujillo - … Conference on Big Data (Big Data …, 2015 - ieeexplore.ieee.org
Big Data constitutes an opportunity for companies to empower their analysis. However, at
the moment there is no standard way for approaching Big Data projects. This, coupled with …

Big data team process methodologies: A literature review and the identification of key factors for a project's success

JS Saltz, I Shamshurin - … Conference on Big Data (Big Data), 2016 - ieeexplore.ieee.org
This paper reports on our review of published research relating to how teams work together
to execute Big Data projects. Our findings suggest that there is no agreed upon standard for …

The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness

JS Saltz - 2015 IEEE International Conference on Big Data (Big …, 2015 - ieeexplore.ieee.org
As data continues to be produced in massive amounts, with increasing volume, velocity and
variety, big data projects are growing in frequency and importance. However, the growth in …

Exploring the process of doing data science via an ethnographic study of a media advertising company

JS Saltz, I Shamshurin - … conference on big data (Big Data), 2015 - ieeexplore.ieee.org
This paper presents the results of an ethnographic study focused on how data science
projects were conducted within a global media advertising company. Observations, via …

Towards methods for systematic research on big data

M Das, R Cui, DR Campbell, G Agrawal… - … Conference on Big …, 2015 - ieeexplore.ieee.org
Big Data is characterized by the five V's-of Volume, Velocity, Variety, Veracity and Value.
Research on Big Data, that is, the practice of gaining insights from it, challenges the …

Towards a requirements engineering artefact model in the context of big data software development projects: Research in progress

D Arruda, NH Madhavji - … conference on big data (big data), 2017 - ieeexplore.ieee.org
There is ample literature that suggests that the field of Big Data is growing rapidly. Also,
there is emerging literature on the need to create end-user Big Data applications, as distinct …

From big data to big projects: a step-by-step roadmap

H Mousannif, H Sabah, Y Douiji… - … Conference on Future …, 2014 - ieeexplore.ieee.org
While technologies to build and run big data projects have started to mature and proliferate
over the last couple of years, exploiting all potentials of big data is still at a relatively early …