當一企業管理者因特定營運目標而需瞭解營運活動相關之狀況時，其往往針對該狀況整理、檢視所擁有之相關資料，再向專家諮詢相關資料之適切處理方法；之後，專家即因應管理者的諮詢回饋其適切之資料處理方法、以及應補充之相關資料或應注意之事項與相對應之因應原則；最後，管理者即可評選資料處理方法，並藉由所選之方法處理資料，以取得對應之分析結果而滿足需求，進而達成企業營運目標。然而，管理者可能尋求非專業領域之專家、或甚至無法尋得相關專家，而無法獲得具代表性之資料處理方法建議；其次，當管理者選擇資料處理方法時，可能不瞭解如何評選符合其需求之方法，而無法獲得適當之資訊以滿足需求。
為解決上述問題，本研究首先解析現有資料分析相關文獻，並訂定企業營運問題之10項基本元素；之後，本研究乃根據解析結果提出一套「以目標為基礎之資料處理方法建議」模式，此模式包含「企業營運問題與改善個案資料結構化方法與關聯模式建構」、「企業營運問題解析與相關資料搜尋」、「資料處理方法與細節判定」、「資料分析方法評價與篩選」等階段。「企業營運問題與改善個案資料結構化方法與關聯模式建構」階段乃釐清目標企業營運問題所包含之企業營運問題基本元素的內容，並建構「企業營運問題與改善個案之關聯模式」，「企業營運問題解析與相關資料搜尋」階段乃利用目標營運問題之結構化結果與前一階段所建構之「企業營運問題與改善個案之關聯模式」搜尋與目標企業營運問題相關之改善個案資料。「資料處理方法與細節判定」階段乃自與目標企業營運問題相關之改善個案資料中擷取資料處理方法與其對應之相關係相資訊。最後，「資料分析方法評價與篩選」階段乃針對料處理方法進行評估與篩選，以將合適知資料處理方法建議提供予管理者參考。
未來，管理者即可透過本研究發展之建議方法有效地取得可達成其目標之資料處理方法與相關細節之建議、以及此些方法於達成目標與滿足限制、偏好之綜合評價，以利管理者有效地評選資料、分析資料，進而更瞭解企業營運活動相關之狀況而達成其所設定之目標。

In order to improve efficiency for suggestion of data analysis approaches, this research develops a problem-oriented model for suggestion of data analysis approaches. Firstly, this research analyzes the historical problems the applicable data analysis approaches and other information of the original solutions which are related to data analysis. Secondly, a model is developed for analyzing the solutions related to data analysis and transforms them into structured forms. After that, the proposed model can be applied for searching related data analysis solutions based on the problem characteristics. In order to distinguish the related and the unrelated solutions, this model evaluates the likelihood between those solutions by the linear combinations of the solution characteristics. Further, this model utilizes the simulated annealing algorithm to acquire the combinations which can distinguish the related and unrelated solutions. Finally, this model can suggest the data analysis approaches according to the approaches used in the related solutions used. As a whole, the proposed model can assist managers realizing data analysis approaches in an efficient and effective way.

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