庫存狀況
「香港二樓書店」讓您 愛上二樓●愛上書
我的購物車 加入會員 會員中心 常見問題 首頁
「香港二樓書店」邁向第一華人書店
登入 客戶評價 whatsapp 常見問題 加入會員 會員專區 現貨書籍 現貨書籍 購物流程 運費計算 我的購物車 聯絡我們 返回首頁
香港二樓書店 > 今日好書推介
   
格雷的五十道陰影I:調教(電影封面版)
  • 定價127.00元
  • 8 折優惠:HK$101.6
  • 放入購物車
二樓書籍分類
 
BUSINESS INTELLIGENCE: A MANAGERIAL APPROACH, 4/E (GE)

BUSINESS

沒有庫存
訂購需時10-14天
9781292220543
SHARDA,DELEN,TURBAN,KING
全華圖書
2018年8月20日
327.00  元
HK$ 310.65  






ISBN:9781292220543
  • 叢書系列:大學商管
  • 規格:平裝 / 512頁 / 26 x 38 cm / 普通級 / 全彩印刷 / 初版
  • 出版地:台灣
    大學商管


  • 專業/教科書/政府出版品 > 管理類 > 企業管理 > 管理學











      For courses on Business Intelligence or Decision Support Systems.



      A managerial approach to understanding business intelligence systems.



      To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



    本書特色



      For courses on Business Intelligence or Decision Support Systems.



      A managerial approach to understanding business intelligence systems.



      To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



      See the decision-making aspects: Managerial Approach. This text takes a managerial approach to Business Intelligence (BI), emphasizing the applications and implementations behind the concepts. This approach allows students to understand how BI works in a way that will help them adopt these technologies in future managerial roles.



      Put the concepts into action: Access to the Teradata Network. Teradata University Network (TUN) is a free learning portal sponsored by Teradata, a division of NCR, whose objective is to help faculty learn, teach, communicate, and collaborate with others in the field of BI. Teradata also supports a student portal (teradatastudentnetwork.com) that contains a variety of learning resources such as cases, Web seminars, tutorials, exercises, links to sources, and more. Business Intelligence is interconnected with TUN via various hands-on assignments provided in all chapters and is accessible to students through the portal.



      Understand the context: Real-world Orientation. Extensive, vivid examples from large corporations, small businesses, and government and not-for-profit agencies make the difficult concepts more accessible and relevant. International examples of global competition, partnerships, and trade are also provided throughout. These real-world case studies show students the capabilities of BI, its cost and justification, and the innovative ways real corporations are using BI in their operations.



      Opening Vignette: Real world case that presents a challenge, solution, and results that introduce the chapter. Each opening vignette is paired with questions for students to dig into the details and think critically about the case.



      Application Cases: Real world cases that emphasize concepts in the chapter, paired with discussion questions.

      Section Review Questions: Checkpoints for students on key concepts they should have learned in the section.

      Color charts, graphs, and figures: Help students visualize data, processes, and stay engaged with the content.



      Technology Insights: Boxed features focusing on the benefits of available technology.



      Resources, Links, and the Teradata University: Appear at the end of chapter and provide students additional reading, information, and cases to explore.



      End of Chapter: Includes a list of Chapter Highlights, Key Terms, Discussion Questions, Exercises, and an additional Application Case to help students review, test, and apply their understanding.


     





    Ch1: An Overview of Business Intelligence, Analytics, and Data Science

    Ch2: Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization

    Ch3: Descriptive Analytics II: Business Intelligence and Data Warehousing

    Ch4: Predictive Analytics I: Data Mining Process, Methods, and Algorithms

    Ch5: Predictive Analytics II: Text, Web, and Social Media

    Ch6: Prescriptive Analytics: Optimization and Simulation

    Ch7: Big Data Concepts and Tools

    Ch8: Future Trends, Privacy and Managerial Considerations in Analytics




    其 他 著 作