An Evaluation Instrument (Q-U) for Measuring the usability of Business Intelligence Application

Mousa, Ayad Hameed; Raheem, Heba Adnan; Mohammed, Nibras Talib

doi:10.14419/ijet.v7i4.19.28008

Cited by 2 publications

(1 citation statement)

References 17 publications

(21 reference statements)

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“…As mentioned in most of the literature related to DSS, the evaluation process of these types of systems relays primarily on user satisfaction and usability. Therefore, to evaluate the CDSS-developed system, a usability test was conducted using a usability measurement instrument consisting of 5 dimensions, namely decision support, simplicity, flexibility, usefulness, and learnability [27].…”

Section: Resultsmentioning

confidence: 99%

Virtual data integration for a clinical decision support systems

Nasir,

Mousa,

Ali Alkhafaji

et al. 2023

IJECE

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<span lang="EN-US">Clinical decision support (CDS) supplies clinicians and their patients, and relevant staff with meaningful and timely information intelligently integrated or visualized to enhance health and the health sector. Data is the backbone of decision support systems, especially (clinical) ones. Data integration (either virtual or physical manner) is a powerful technique to manipulate a vast amount of heterogeneous data and prepare it as input for the decision-making process. The difficulties in manipulating data that have a physical data integration technique motivated the decision support developers to tend to data virtualization as a data integration technique. In this paper, a clinical decision support system was developed using the virtual data integration technique. The developed system was evaluated in terms of usability and its capability of providing clinical decision support. The evaluation findings indicate that the proposed system is highly usable and has a positive impact on supporting the clinical decision-making process.</span>

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Section: Resultsmentioning

confidence: 99%

Virtual data integration for a clinical decision support systems

Nasir,

Mousa,

Ali Alkhafaji

et al. 2023

IJECE

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Augmenting the Business Intelligence Lifecycle Model with Usability: Using eye‑Tracking to Discover the why of Usability Problems

Beelders¹,

Kotzé²

2020

EJISE

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Humans and machines generate data at an alarming rate but still struggle to analyse and process this data fast enough. In order to meet this rising demand, business intelligence (BI) software firms are constantly incorporating new reporting or analytical functionalities in their software. At the same time, in order to be used optimally, they must ensure these features do not overwhelm users. There has however recently been cases where organisations, even after significant monetary investments, fail to realise the full potential of BI tools, sometimes reporting less than 20% utilisation. The purpose of this study was to investigate possible causes of the low utilisation and test the inclusion of a BI usability process. The study uses an off‑the‑shelf tool as a matter of convenience but proposes that including an empirical evaluation process as part of the BI design and development could increase BI adoption and usage. A small feasibility study was conducted to determine whether eye‑tracking is viable as a means of determining why the usability problems exist. Findings suggest that analysis of eye‑tracking data, together with traditional usability measures offer insight into how users solve problems and use the BI tool. Therefore, it will be a valuable aid in the design and testing of BI tools before release to enhance the usability therefore and potentially increase adoption and usage rates and should be included as a phase in the design and development lifecycle.

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An Evaluation Instrument (Q-U) for Measuring the usability of Business Intelligence Application

Cited by 2 publications

References 17 publications

Virtual data integration for a clinical decision support systems

Virtual data integration for a clinical decision support systems

Augmenting the Business Intelligence Lifecycle Model with Usability: Using eye‑Tracking to Discover the why of Usability Problems

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