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Challenges for adoption of Data Democratization: A study of users’ perception of BI usage

Petersson, Gabriel LU and Jakobsson, Lisa LU (2022) INFM10 20221
Department of Informatics
Abstract
This research investigates the subject of Data Democratization (DD), the effect it has on fact-based decision-making, and how users perceive this within the organization. DD is a fairly new initiative, empowering more employees with increased access to data to improve their use of it and to a greater extent be able to make decisions based on data. The idea for this paper originated from the lack of previous research done on how the perspective of individual users affects the adoption and utilization of BI. With DD enabling more users increased access to data, we identified that there is a need for a better understanding of how organizations go about enabling this new type of initiative. In order to address this lack of research, we have... (More)
This research investigates the subject of Data Democratization (DD), the effect it has on fact-based decision-making, and how users perceive this within the organization. DD is a fairly new initiative, empowering more employees with increased access to data to improve their use of it and to a greater extent be able to make decisions based on data. The idea for this paper originated from the lack of previous research done on how the perspective of individual users affects the adoption and utilization of BI. With DD enabling more users increased access to data, we identified that there is a need for a better understanding of how organizations go about enabling this new type of initiative. In order to address this lack of research, we have conducted four qualitative interviews with employees in organizations that have an outspoken proclamation of working data-driven. Our key findings are that data governance and creating a data-driven organizational culture are what users believe to be most central to accomplishing DD successfully, but that there are challenges in how organizations should go about enabling this internally in terms of technology, management initiatives, and user training. (Less)
Please use this url to cite or link to this publication:
author
Petersson, Gabriel LU and Jakobsson, Lisa LU
supervisor
organization
course
INFM10 20221
year
type
H1 - Master's Degree (One Year)
subject
keywords
Business Intelligence, Data Democratization, Data-driven culture, Data Governance, User perception of Business Intelligence, Data
report number
INF22-22
language
English
id
9091959
date added to LUP
2022-09-07 14:31:31
date last changed
2022-09-07 14:31:31
@misc{9091959,
  abstract     = {{This research investigates the subject of Data Democratization (DD), the effect it has on fact-based decision-making, and how users perceive this within the organization. DD is a fairly new initiative, empowering more employees with increased access to data to improve their use of it and to a greater extent be able to make decisions based on data. The idea for this paper originated from the lack of previous research done on how the perspective of individual users affects the adoption and utilization of BI. With DD enabling more users increased access to data, we identified that there is a need for a better understanding of how organizations go about enabling this new type of initiative. In order to address this lack of research, we have conducted four qualitative interviews with employees in organizations that have an outspoken proclamation of working data-driven. Our key findings are that data governance and creating a data-driven organizational culture are what users believe to be most central to accomplishing DD successfully, but that there are challenges in how organizations should go about enabling this internally in terms of technology, management initiatives, and user training.}},
  author       = {{Petersson, Gabriel and Jakobsson, Lisa}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Challenges for adoption of Data Democratization: A study of users’ perception of BI usage}},
  year         = {{2022}},
}