Data Analytics Initiatives: Managing Analytics for Success
暫譯: 數據分析計畫：成功管理分析

Bothe, Ondřej, Kubera, Ondřej, Bednář, David

Data Analytics Initiatives: Managing Analytics for Success
  • 出版商: Auerbach Publication
  • 出版日期: 2022-04-21
  • 售價: $5,240
  • 貴賓價: 9.5 折 $4,978
  • 語言: 英文
  • 頁數: 164
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032302402
  • ISBN-13: 9781032302409
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex?

Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure.

In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.

商品描述(中文翻譯)

分析專案的分類可以合理地簡化複雜性，同時澄清分析計畫的關鍵方面。但這項複雜的工作該如何分類呢？究竟是什麼使它如此複雜？

《數據分析計畫：成功管理分析》強調每個分析專案都是獨特的。與此同時，分析專案有許多共同的特徵，而這些特徵使它們與其他專案相比具有獨特性。描述這些共同點有助於發展對分析工作的概念理解。然而，每個計畫特有的特徵會影響整個分析專案的生命週期。忽視這些特徵，試圖使用一般的方法而不針對每個專案進行調整，可能會導致失敗。

除了檢視分析專案的典型特徵及其分類方式外，本書還探討了特定類型的專案，從風險的角度提供其特徵的高層次評估，並評論最常見的問題或挑戰。本書還提供了可以向相關人員提出的問題範例，以分析一個分析專案。這些問題有助於正確定位專案，並找出共同點和一般專案挑戰。

作者簡介

Ondřej Bothe has spent his whole life working in analytics. He has worked in many different roles: from hands-on developer to manager leading a team responsible for project implementation and IT analytical landscape operation. He was on the customer side, receiving advice from a consultant, but he has also worn the consultant hat, advising clients on analytical issues across sectors. Thanks to his economic background, he has a unique view of analytical projects. He can combine the aspect of technology, the delivery approach, and an understanding of data with an economist's perspective to ensure the best possible results for analytical insight consumers.

Ondřej Kubera has spent most of his career in IT delivery and consulting, focusing on analytics, including areas such as business intelligence, information management, and data governance. He is passionate about bridging the gap between the business and technical perspectives in the data analytics domain. He graduated from the Czech Technical University in Prague and has experience from a variety of hands-on engineering, as well as client-facing and managerial roles. He has led, designed, and consulted analytics initiatives in major consulting firms, a boutique data intelligence company, and a global pharma company.

David Bednař loves data and its presentation, and he has spent most of his career in the analytics area. He benefits from experience from both the academic and the business spheres, where he works on projects that further develop his robust technological background. He is a person who likes to develop anything new and innovative, who can define new architectures and patterns, or lead young talents to growth. David graduated from the Technical University of Ostrava focusing on data management and custom data structures, where he helped with research of multidimensional data structures as a member of the Database Research Group. 

Martin Potančok supports data-inspired decisions in commercial and research projects. He has experience in software development and analytics. He has worked as a business analyst and project manager on software projects delivering mainly budgeting and reporting systems for international companies. Recently, he has been working as a business analyst on data and analytics projects. At the Prague University of Economics and Business, he is in charge of data activities and research projects organized in cooperation with the Faculty of Informatics and Statistics.

Ota Novotny has over twenty years of practical experience in data and business analytics. He helps people understand the importance and principles of data analytics in both academic and business projects and shows them how to use them in their professional lives. He has already supported thousands of people, helping them familiarize themselves with this modern and increasingly promising area of interest, and a large proportion of them have chosen data analytics as their career path. He is always looking for new ways to harness the potential of data and the associated data analytics for modern business.

作者簡介(中文翻譯)

Ondřej Bothe 一生都在分析領域工作。他擔任過許多不同的角色：從實際開發者到負責專案實施和 IT 分析環境運營的經理。他曾在客戶端接受顧問的建議，但也曾擔任顧問，為各行各業的客戶提供分析問題的建議。由於他具備經濟學背景，他對分析專案有著獨特的見解。他能夠將技術、交付方法和數據理解與經濟學家的視角結合起來，以確保為分析洞察的消費者提供最佳結果。

Ondřej Kubera 的大部分職業生涯都專注於 IT 交付和顧問服務，特別是在分析領域，包括商業智慧、資訊管理和數據治理等方面。他熱衷於在數據分析領域彌合商業與技術視角之間的鴻溝。他畢業於布拉格捷克科技大學，擁有多種實際工程經驗，以及面對客戶和管理角色的經歷。他曾在主要顧問公司、一家精品數據智能公司和一家全球製藥公司領導、設計和諮詢分析計劃。

David Bednář 熱愛數據及其呈現，並且大部分職業生涯都在分析領域工作。他擁有來自學術界和商業領域的經驗，參與進一步發展他堅實技術背景的專案。他是一個喜歡開發任何新穎和創新事物的人，能夠定義新的架構和模式，或引導年輕人才成長。David 畢業於奧斯特拉瓦科技大學，專注於數據管理和自定義數據結構，並作為數據庫研究小組的成員參與多維數據結構的研究。

Martin Potančok 在商業和研究專案中支持數據驅動的決策。他擁有軟體開發和分析的經驗，曾擔任商業分析師和專案經理，主要負責為國際公司交付預算和報告系統的軟體專案。最近，他在數據和分析專案中擔任商業分析師。在布拉格經濟與商業大學，他負責與資訊與統計學院合作組織的數據活動和研究專案。

Ota Novotny 擁有超過二十年的數據和商業分析實務經驗。他幫助人們理解數據分析在學術和商業專案中的重要性和原則，並向他們展示如何在專業生活中使用這些知識。他已經支持了數千人，幫助他們熟悉這個現代且日益有前景的興趣領域，其中有很大一部分人選擇了數據分析作為他們的職業道路。他始終在尋找利用數據潛力及相關數據分析為現代商業服務的新方法。

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