組織資料治理最佳實踐方案之個案研究

Abstract

資料對個人、組織甚至社會的影響力不言而喻，因此，探討在組織中，組織整體及其成員應如何妥善地使用資料的資料治理有其重要性。然資料治理並不僅包含科技方面的討論，更包含組織內部之文化以及外部之環境等影響，以利從各方各面探討之。各個組織之需求以及特性不同，所以組織間執行資料治理實踐之方式亦有不同，然既有研究少有針對過程詳細記錄者，以致於後續研究難以效仿或參考之，也激發了研究者執行此個案研究之動機。

研究者透過收集個案資料、設計實踐方案以及評估實踐結果等三個階段呈現研究結果。在收集個案資料時，研究者使用團體訪談、設計思考工作坊、半結構式訪談以及田野調查等四個資料收集方式，以因應不同研究階段之研究資料所需，並使得研究者對組織的觀察更完整。

研究者透過四種資料收集方式建立對個案的認識，並根據個案之需求提出三大核心設計目標：確保資料即時且正確、提升資料使用效率以及流程符合國家之資料安全標準。研究者以三大目標為方針，在考慮組織文化以及組織成員使用習慣後設計相應之措施，並協助組織實行之。

在方案推行後，研究者針對個案推行資料治理實踐之過程提出評估報告，並以科技—組織—環境框架作為主軸分析之，以配合本研究中對組織和環境對資料使用影響之關注。

本研究完整紀錄資料治理實踐之過程，希望可以作為未來研究或機構實行資料治理之參考，亦呈現科技、組織以及環境等三面向對資料治理實踐之影響，以確保資料能夠最高程度地為組織所用。

The impact of data on individuals, organizations, and even the society is undeniable. Therefore, data governance, which explores how organizations, both as a whole and through their individual members, utilize data appropriately, is crucial. Data governance goes beyond technological considerations, extending into the internal culture of the organization and external environmental factors, facilitating a comprehensive examination from various perspectives. As the needs and characteristics of different organizations vary, the ways in which they implement data governance practices also differ. However, existing research often lacks detailed documentation of these processes, making it challenging for subsequent studies to emulate or reference them. This gap has spurred researchers to undertake case studies in order to address and bridge this knowledge deficit.

The finding of this research is illustrated in the order of collecting data, designing data governance practice and evaluating the effect of the practice respectively. The order also exhibits how the research is conducted. Through these four data collection methods, the researchers establish an understanding of the cases and formulate three core design objectives: ensuring real-time and accurate data, enhancing data utilization efficiency, and aligning processes with national data security standards. Guided by these objectives and taking into account the organizational culture and members' usage habits, the researchers design corresponding measures and assist the organization in their implementation.

After implementing the solutions, the researchers generate assessment reports for the case, employing a Technology-Organization-Environment framework as the main axis for analysis. This framework aligns with the study's focus on the impact of the organization and the environment on data usage.

This study comprehensively documents the process of data governance practice and aims to serve as a reference for future research or organizations implementing data governance. It highlights that data governance practice encompasses not only data and technology usage but also the influence of organizational members and external factors. When conducting research on implementing data governance practices, it is essential to consider these aspects to ensure that data is maximally utilized by the organization.