Do-It-Yourself Business Intelligence for the Radiologist—Lessons Learned From 10-Year Trends in an Abdominal Imaging Division at a Tertiary Medical Center

Yee, Janis M.; Cross, Nathan M.; Bhargava, Puneet

doi:10.1016/j.jacr.2021.10.007

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Tools for graphical data representation are utilized to create dashboards with visualizations, showcasing critical information for the organization. These results of the analysis are then shared, with the scope and level of aggregation tailored to the end user (Yee et al, 2022).…”

Section: Business Intelligence Contest and Implementation Phasesmentioning

confidence: 99%

Strategic Insights: Navigating Business Intelligence Implementation - Phases, Tasks, and Risks: A Case Study on an International Manufacturing Company

Hillebrandt-Szymanska,

Piotrowska,

Blaszczyk

et al. 2023

ERSJ

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Purpose: This article aims to present a comprehensive case study of implementing a business intelligence system in the manufacturing company. Therefore, a comprehensive understanding of key implementation aspects and associated risks is vital for meticulous planning before investing in information systems. Design/Methodology/Approach: Through qualitative research, the study will identify the main implementation phases, assign key tasks, and highlight the potential risks encountered during the process. By examining the case study, readers can gain insights into the effective implementation of a business intelligence system in manufacturing company, enabling them to better navigate similar ventures a significant input for researchers to create an implementation model. Findings: Having accurate and timely information is a crucial asset for businesses, influencing their competitive advantage. Information is essential for decision-making, enabling organizations to identify opportunities, threats, strengths, weaknesses, and changes. Business Intelligence (BI) solutions cater to these needs by automatically transforming data into actionable information. However, due to the wide array of tools available in the market, the implementation process of BI can be complex. Practical Implications: The findings from this article's case study can serve as a foundation for proposing an implementation model for business intelligence systems. Originality/Value: By analyzing the challenges, key phases, and risks identified in the case study, future research can develop a structured framework or model that outlines the necessary steps, considerations, and best practices for implementing BI systems specifically tailored to manufacturing industries.

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Section: Business Intelligence Contest and Implementation Phasesmentioning

confidence: 99%