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Self-Service Business Intelligence: Towards a CSF Model for SSBI Success

Jokel, Hama LU ; Aminy, Behshad LU and Klasson, Mikael LU (2019) INFM10 20191
Department of Informatics
Abstract
Utilizing Business Intelligence (BI) technologies is becoming increasingly important in order to make data-driven decisions enabling organizations to stay competitive. However, with long lead times, organizations are not able to take those time-critical data-driven decisions in order to stay ahead. With the introduction of Self-Service Business Intelligence (SSBI) systems, more and more organizations are considering deploying SSBI. Those organizations who have adopted SSBI reports low success rates, however. There is an increasing need for guiding organizations towards succeeding with their SSBI initiatives. In order to guide organizations towards SSBI success, this study has conducted seven interviews with BI experts regarding those... (More)
Utilizing Business Intelligence (BI) technologies is becoming increasingly important in order to make data-driven decisions enabling organizations to stay competitive. However, with long lead times, organizations are not able to take those time-critical data-driven decisions in order to stay ahead. With the introduction of Self-Service Business Intelligence (SSBI) systems, more and more organizations are considering deploying SSBI. Those organizations who have adopted SSBI reports low success rates, however. There is an increasing need for guiding organizations towards succeeding with their SSBI initiatives. In order to guide organizations towards SSBI success, this study has conducted seven interviews with BI experts regarding those critical success factors (CSFs) contributing to SSBI success. The result is a conceptual model displaying two contexts – the organizational context and the technological context – containing CSFs that plays a critical role in achieving SSBI success. Those CSFs are user management, collaboration between business and IT, data quality, data governance in relation to maturity and semantic layer strategy. (Less)
Please use this url to cite or link to this publication:
author
Jokel, Hama LU ; Aminy, Behshad LU and Klasson, Mikael LU
supervisor
organization
course
INFM10 20191
year
type
H1 - Master's Degree (One Year)
subject
keywords
Self-Service Business Intelligence, Business Intelligence, Critical Success Factors
report number
INF19-054
language
English
id
8984517
date added to LUP
2019-06-19 10:58:05
date last changed
2019-06-19 10:58:05
@misc{8984517,
  abstract     = {{Utilizing Business Intelligence (BI) technologies is becoming increasingly important in order to make data-driven decisions enabling organizations to stay competitive. However, with long lead times, organizations are not able to take those time-critical data-driven decisions in order to stay ahead. With the introduction of Self-Service Business Intelligence (SSBI) systems, more and more organizations are considering deploying SSBI. Those organizations who have adopted SSBI reports low success rates, however. There is an increasing need for guiding organizations towards succeeding with their SSBI initiatives. In order to guide organizations towards SSBI success, this study has conducted seven interviews with BI experts regarding those critical success factors (CSFs) contributing to SSBI success. The result is a conceptual model displaying two contexts – the organizational context and the technological context – containing CSFs that plays a critical role in achieving SSBI success. Those CSFs are user management, collaboration between business and IT, data quality, data governance in relation to maturity and semantic layer strategy.}},
  author       = {{Jokel, Hama and Aminy, Behshad and Klasson, Mikael}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Self-Service Business Intelligence: Towards a CSF Model for SSBI Success}},
  year         = {{2019}},
}