| dc.description.abstract | Gartner suggested that strategic technologies have the potential to foster opportunities along with significant disruptions that can be observed in many fields of studies and industries within the next five years. However, prior to fully implement strategic technologies within a firm, one should place focus on developing its analytical capability after diving into the field of Big Data. Many organizations nowadays collect all kinds of data but some lack the ability to organize these data. Moreover, because of the fervor of Big Data, people in the management role of the firms which are in the rudimentary stage of analyzing data may oversee obstacles confronted currently such as—skill, people, process and data and may experience a strong friction implementing data analysis concepts alike. In order for an organization to improve its big data, analytical capability and maturity effectively, many scholars and researchers have composed a grading rubric to better assess a firm’s ability to utilize data science in the industry such as Big Data and Analytics Maturity Benchmark. But many of the studies did not place enough weights on the different dimensions of Big Data and Analytics Maturity Scape.
This study is based on IDC′s Big Data and Analytics Maturity Benchmark and a research questionnaire is later composed which blend in the concept of different dimension in the study. As a result, this study should suggest a new measure for assessing enterprise big data and its analytical capability status in Taiwan.
There are 109 valid questionnaires collected in the surveys sent out across 16 different industries. Out of the questionnaires gathered, most of the respondents are from technology industry. Manufacturing industry comes in second and the financial industry comes in third. Overall, the composition of job role of respondents from the most to least are as follows: heads of operations departments, IT and data engineers, data scientists and data analysts, human resources personnel, CIO and heads of IT departments. The dimension weights are as follows：W_vision=0.31,W_data=0.23,W_technology=0.20,W_people=0.14,W_process=0.12。
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