商品描述
Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more
商品描述(中文翻譯)
《使用 SAS 進行分析的數據準備》是 Gerhard Svolba 為任何參與數據準備過程的人所撰寫的書籍,提供了實用的建議,包括 SAS 編碼技巧和竅門,並為讀者提供了有關數據結構和商業觀點的概念背景。書中探討的任務包括在其商業環境中查看分析數據準備,識別數據集市創建的預測建模具體細節,理解時間序列分析的數據準備概念和考量,使用各種 SAS 程序和 SAS Enterprise Miner 進行評分,為所有數據集市類型創建有意義的衍生變數,使用強大的 SAS 宏在各種數據集市結構之間進行更改,等等。
作者簡介
Dr. Gerhard Svolba is a senior solutions architect and analytic expert at SAS Institute Inc. in Austria, where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of Data Preparation for Analytics Using SAS and teaches a SAS training course called "Building Analytic Data Marts."
作者簡介(中文翻譯)
Gerhard Svolba 博士是奧地利 SAS Institute Inc. 的資深解決方案架構師及分析專家,專注於不同商業及研究領域的分析。他的專案經驗涵蓋從商業及技術概念考量到數據準備及跨行業的分析建模。他是《使用 SAS 進行分析的數據準備》的作者,並教授一門名為「建立分析數據集市」(Building Analytic Data Marts)的 SAS 培訓課程。