| dc.description.abstract | To keep up with rapidly changing client dem&s, many enterprises have already begun implementing business intelligence & visualization tools, as well as other information systems, to manage performance across various departments & track business growth. Given that data sources might come from different domestic & international branches or be scattered across various databases, the use of business intelligence & data visualization tools becomes even more crucial in demonstrating their importance & value within the enterprise.
Therefore, this study employs the Analytic Hierarchy Process (AHP) to construct five indicator groups (cost factors, usefulness, ease of use, data risk management, & vendor service quality & reputation) & twenty sub-indicators (maintenance cost, employee training cost, report development cost, upgrade cost, system setup cost, departmental use cases, work efficiency, decision support, dashboard design, report & user interaction, report sharing, data source compatibility, privacy management, security management, authorization management, problem response speed, service professionalism, warranty period, software market share, vendor reputation). This framework aims to explore & analyze the weight of each indicator that enterprises consider when choosing to purchase data visualization tools. A survey was conducted with nine industry experts in the data field to gather & analyze their responses.
The study found that the weight of the indicator groups, from highest to lowest, is as follows: data risk management (0.275) > ease of use (0.270) > usefulness (0.177) > cost factors (0.170) > vendor service quality & reputation (0.107). Among the sub-indicators, data security management holds the highest overall weight (0.125), indicating that as enterprises grow & internal data volumes increase rapidly, data risk management becomes significantly important. Conversely, vendor service quality & reputation are not primary considerations.
In this study, we compared the results generated by the Analytic Hierarchy Process (AHP) with the actual decisions made by three experts who have the authority to procure software in their company and have experience using both Tableau and Power BI visualization tools. The aim was to validate the usability of our research model. The results showed that the AHP outcomes for all five experts aligned with their actual choices. Thus, our AHP evaluation model is applicable as a reference for enterprises in selecting and procuring data visualization reporting tools. | en_US |