Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks

Maria Hoffmann Jensen; Peter Axel Nielsen; John Stouby Persson

Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks

Maria Hoffmann Jensen^*, Peter Axel Nielsen, John Stouby Persson

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Big data analytics is regarded as the next frontier in creating digital opportunities for businesses. Analytics projects rarely deliver the intended benefits for the organisation that invest in these data analytics, and currently, no widely accepted design method for analytics projects exists. To address this, we report from an action research project in an organisation highly involved with big data analytics and how benefits materialize from these projects through the practices of tailored and focused benefits management. We argue for using the benefits dependency network for orchestrating commitment to benefits. Benefits dependency networks create linkages between analytics technology, organisational change activities, stakeholders’ interests and to-be benefits of a project. With this study, we contribute with: (1) a tailored technique for benefits dependency networks, (2) focus on benefits into established project development practices for big data analytics (3) facilitation as a key capability in developing a benefits dependency network.

Original language	English
Title of host publication	Twelfth Scandinavian Conference on Information Systems
Number of pages	16
Publisher	Association for Informations Systems, AIS
Publication date	2021
Article number	2
Publication status	Published - 2021
Event	Scandinavian Conference on Information Systems - University of Science and Technology (NTNU), Norway Duration: 9 Aug 2021 → 11 Aug 2021 Conference number: 12

Conference

Conference	Scandinavian Conference on Information Systems
Number	12
Location	University of Science and Technology (NTNU)
Country/Territory	Norway
Period	09/08/2021 → 11/08/2021

Keywords

Big data analytics
Benefits management
Benefits dependency network
Action research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://aisel.aisnet.org/scis2021/2/

AUB Link

Search for the material in Aalborg University Library's search engine

Value Creation from Big Data Analytics
Jensen, M. H. (PI), Nielsen, P. A. (PI), Persson, J. S. (PI), Andersen, K. E. (PI) & Knudsen, S. J. (Supervisor)
01/03/2018 → 26/02/2021
Project: Research

Best paper award at the 12th Scandinavian Conference on Information Systems (SCIS 2021)
Jensen, M. H. (Recipient), Nielsen, P. A. (Recipient) & Persson, J. S. (Recipient), 11 Aug 2021
Prize: Conference prizes

File

Cite this

@inproceedings{296f6e062ddb441380f1b6eec37d3956,

title = "Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks",

abstract = "Big data analytics is regarded as the next frontier in creating digital opportunities for businesses. Analytics projects rarely deliver the intended benefits for the organisation that invest in these data analytics, and currently, no widely accepted design method for analytics projects exists. To address this, we report from an action research project in an organisation highly involved with big data analytics and how benefits materialize from these projects through the practices of tailored and focused benefits management. We argue for using the benefits dependency network for orchestrating commitment to benefits. Benefits dependency networks create linkages between analytics technology, organisational change activities, stakeholders{\textquoteright} interests and to-be benefits of a project. With this study, we contribute with: (1) a tailored technique for benefits dependency networks, (2) focus on benefits into established project development practices for big data analytics (3) facilitation as a key capability in developing a benefits dependency network.",

keywords = "Big data analytics, Benefits management, Benefits dependency network, Action research",

author = "Jensen, {Maria Hoffmann} and Nielsen, {Peter Axel} and Persson, {John Stouby}",

year = "2021",

language = "English",

booktitle = "Twelfth Scandinavian Conference on Information Systems",

publisher = "Association for Informations Systems, AIS",

note = "Scandinavian Conference on Information Systems, SCIS ; Conference date: 09-08-2021 Through 11-08-2021",

}

Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks. / Jensen, Maria Hoffmann; Nielsen, Peter Axel ; Persson, John Stouby.
Twelfth Scandinavian Conference on Information Systems. Association for Informations Systems, AIS, 2021. 2.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks

AU - Jensen, Maria Hoffmann

AU - Nielsen, Peter Axel

AU - Persson, John Stouby

N1 - Conference code: 12

PY - 2021

Y1 - 2021

N2 - Big data analytics is regarded as the next frontier in creating digital opportunities for businesses. Analytics projects rarely deliver the intended benefits for the organisation that invest in these data analytics, and currently, no widely accepted design method for analytics projects exists. To address this, we report from an action research project in an organisation highly involved with big data analytics and how benefits materialize from these projects through the practices of tailored and focused benefits management. We argue for using the benefits dependency network for orchestrating commitment to benefits. Benefits dependency networks create linkages between analytics technology, organisational change activities, stakeholders’ interests and to-be benefits of a project. With this study, we contribute with: (1) a tailored technique for benefits dependency networks, (2) focus on benefits into established project development practices for big data analytics (3) facilitation as a key capability in developing a benefits dependency network.

AB - Big data analytics is regarded as the next frontier in creating digital opportunities for businesses. Analytics projects rarely deliver the intended benefits for the organisation that invest in these data analytics, and currently, no widely accepted design method for analytics projects exists. To address this, we report from an action research project in an organisation highly involved with big data analytics and how benefits materialize from these projects through the practices of tailored and focused benefits management. We argue for using the benefits dependency network for orchestrating commitment to benefits. Benefits dependency networks create linkages between analytics technology, organisational change activities, stakeholders’ interests and to-be benefits of a project. With this study, we contribute with: (1) a tailored technique for benefits dependency networks, (2) focus on benefits into established project development practices for big data analytics (3) facilitation as a key capability in developing a benefits dependency network.

KW - Big data analytics

KW - Benefits management

KW - Benefits dependency network

KW - Action research

M3 - Article in proceeding

BT - Twelfth Scandinavian Conference on Information Systems

PB - Association for Informations Systems, AIS

T2 - Scandinavian Conference on Information Systems

Y2 - 9 August 2021 through 11 August 2021

ER -

Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks

Abstract

Conference

Keywords

UN SDGs

Access to Document

AUB Link

Fingerprint

Projects

Value Creation from Big Data Analytics

Prizes

Best paper award at the 12th Scandinavian Conference on Information Systems (SCIS 2021)

Cite this