Aarhus University Seal

Big data challenges: impact, potential responses and research needs

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

Big data challenges : impact, potential responses and research needs. / Bachlechner, Daniel; Leimbach, Timo.

2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE, 2016. p. 257-264.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Bachlechner, D & Leimbach, T 2016, Big data challenges: impact, potential responses and research needs. in 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE, pp. 257-264, IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies, Mauritius, 03/08/2016. https://doi.org/10.1109/EmergiTech.2016.7737349

APA

Bachlechner, D., & Leimbach, T. (2016). Big data challenges: impact, potential responses and research needs. In 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) (pp. 257-264). IEEE. https://doi.org/10.1109/EmergiTech.2016.7737349

CBE

Bachlechner D, Leimbach T. 2016. Big data challenges: impact, potential responses and research needs. In 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE. pp. 257-264. https://doi.org/10.1109/EmergiTech.2016.7737349

MLA

Bachlechner, Daniel and Timo Leimbach "Big data challenges: impact, potential responses and research needs". 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE. 2016, 257-264. https://doi.org/10.1109/EmergiTech.2016.7737349

Vancouver

Bachlechner D, Leimbach T. Big data challenges: impact, potential responses and research needs. In 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE. 2016. p. 257-264 https://doi.org/10.1109/EmergiTech.2016.7737349

Author

Bachlechner, Daniel ; Leimbach, Timo. / Big data challenges : impact, potential responses and research needs. 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech) . IEEE, 2016. pp. 257-264

Bibtex

@inproceedings{b7e3d05c41d64bc8aefebfeb0a19efe8,
title = "Big data challenges: impact, potential responses and research needs",
abstract = "Although reports on big data success stories have been accumulating in the media, most organizations dealing with high-volume, high-velocity and high-variety information assets still face challenges. Only a thorough understanding of these challenges puts organizations into a position in which they can make an informed decision for or against big data, and, if the decision is positive, overcome the challenges smoothly. The combination of a series of interviews with leading experts from enterprises, associations and research institutions, and focused literature reviews allowed not only identifying and describing eight key challenges but also characterizing their impact, outlining potential responses to them and proposing directions for future research. The challenges faced were found to be not only technological in nature. Organizational and people-related matters as well as the legislative framework are also relevant. For large enterprises and startups specialized in big data, it is typically easier to overcome the challenges than it is for other enterprises and public administration bodies.",
keywords = "big data; , challenges, interviews, impact, responses, research needs",
author = "Daniel Bachlechner and Timo Leimbach",
year = "2016",
month = nov,
day = "10",
doi = "10.1109/EmergiTech.2016.7737349",
language = "English",
isbn = "978-1-5090-0706-6",
pages = "257--264",
booktitle = "2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)",
publisher = "IEEE",
note = " IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies, EmergiTech ; Conference date: 03-08-2016 Through 06-08-2016",

}

RIS

TY - GEN

T1 - Big data challenges

T2 - IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies

AU - Bachlechner, Daniel

AU - Leimbach, Timo

N1 - Conference code: 2016

PY - 2016/11/10

Y1 - 2016/11/10

N2 - Although reports on big data success stories have been accumulating in the media, most organizations dealing with high-volume, high-velocity and high-variety information assets still face challenges. Only a thorough understanding of these challenges puts organizations into a position in which they can make an informed decision for or against big data, and, if the decision is positive, overcome the challenges smoothly. The combination of a series of interviews with leading experts from enterprises, associations and research institutions, and focused literature reviews allowed not only identifying and describing eight key challenges but also characterizing their impact, outlining potential responses to them and proposing directions for future research. The challenges faced were found to be not only technological in nature. Organizational and people-related matters as well as the legislative framework are also relevant. For large enterprises and startups specialized in big data, it is typically easier to overcome the challenges than it is for other enterprises and public administration bodies.

AB - Although reports on big data success stories have been accumulating in the media, most organizations dealing with high-volume, high-velocity and high-variety information assets still face challenges. Only a thorough understanding of these challenges puts organizations into a position in which they can make an informed decision for or against big data, and, if the decision is positive, overcome the challenges smoothly. The combination of a series of interviews with leading experts from enterprises, associations and research institutions, and focused literature reviews allowed not only identifying and describing eight key challenges but also characterizing their impact, outlining potential responses to them and proposing directions for future research. The challenges faced were found to be not only technological in nature. Organizational and people-related matters as well as the legislative framework are also relevant. For large enterprises and startups specialized in big data, it is typically easier to overcome the challenges than it is for other enterprises and public administration bodies.

KW - big data;

KW - challenges

KW - interviews

KW - impact

KW - responses

KW - research needs

U2 - 10.1109/EmergiTech.2016.7737349

DO - 10.1109/EmergiTech.2016.7737349

M3 - Article in proceedings

SN - 978-1-5090-0706-6

SP - 257

EP - 264

BT - 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)

PB - IEEE

Y2 - 3 August 2016 through 6 August 2016

ER -