應用商業智慧技術建構Web-based跨企業銷售決策支援系統

Apply Business Intelligence Technology for Constructing Web-based Cross Industrial Sales Decision Support System

蔡懿穗(Yi-Suey Tsai)

指導教授 ： 詹前隆

元智大學/資訊學院/資訊管理學系/碩士(2002年)

摘要

面對瞬息萬變的商業環境與新興業態不斷的加入，加上消費者的購物方式產生重大變化，銷售的管道也越來越多樣化，產業相互競爭之劇烈更甚以往。在面臨與日俱增的競爭壓力下，為了保有並開創新的競爭優勢，企業必須建置良好的情報資訊系統 以隨時瞭解營運狀況，並做出即時的反應。隨著情報資訊系統的需求，企業面臨著處理龐大營運資料的問題，許多企業急需將這些資料轉換成為有效的資訊，進而成為企業的知識與智慧，因此對於商業智慧(Business Intelligence,BI)技術的需求與日俱增，也益發迫切。
本研究之目的為針對整合商業智慧技術，建構web-based跨企業銷售決策支援系統，結合資料倉儲、線上分析處理及資料挖掘等商業智慧技術，針對零售業的歷史銷售資料，加以分析、轉換並整理成有效的總體市場銷售資訊，透過網際網路，跨越時間及地點的限制，提供企業具有附加價值的服務，藉以作為業者決策時的參考依據，輔助企業產生較佳經營決策。
研究進行方式共分為三個步驟：一、資料倉儲架構設計及實體建置，二、運用灰色預測理論建立銷售資料預測模型，三、以決策樹理論進行商品銷售模式分析，透過相關商業智慧技術的整合，建構web-based的銷售決策支援系統。

關鍵字

決策支援 ； 資料倉儲 ； 資料挖掘 ； 灰色預測 ； 線上分析處理 ； 決策樹

並列摘要

With various business environment and changing shopping behavior of customers, the competition among business organizations is getting more and more serious. Under the pressure of competitions, business organizations must build good intelligence information systems to create and maintain their competition advantages. With the intelligence information system’s demand, business have to face the problem of dealing with large operational data, they need to transfer these data into useful information and make it become business knowledge and intelligence. The needs for using Business Intelligence(BI) technology is eager and getting more and more
important.
This study integrate the BI technologies including data warehouse、OLAP and data mining skills to construct web-based cross industrial sales decision support system. And using the historical sales data of retailers to analyze and transfer into global market sales information. Besides, it can provide business organizations added value services without the limitations of time and space through the Internet and let the managers easily get information and make the better decisions for their companies.
There are three processes of this study: First, data warehouse design and implementation. Second, using Gray prediction theory to construct sales data prediction model. Third, analyze the sales patterns by decision tree theory and integrate BI technology to construct web-based sales decision support system.

並列關鍵字

decision support ； data warehouse ； data mining ； grey prediction ； OLAP ； decision tree

參考文獻

彭克仲（2001），「灰色預測應用於台灣地區鳳梨零售價格預測之研究」，農業經濟半年刊，69期，9-10頁。

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