Zero Touch Enterprise: A Practical Guide to Business Centric It
暫譯: 零接觸企業:以業務為中心的IT實務指南

Esmaili, Azita

  • 出版商: Wiley
  • 出版日期: 2022-12-28
  • 售價: $3,420
  • 貴賓價: 9.5$3,249
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119810094
  • ISBN-13: 9781119810094
  • 海外代購書籍(需單獨結帳)

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商品描述

This book is a practical guide for technology leaders to support their digitalisation journey. It maps out a practical path towards enterprise digitalisation, the necessity for change in operating model, importance of culture change, value of measuring success and practical HOW-TO examples to lead the change and create ecosystems of change-leaders. The book describes the comp0onents and characteristics of digital 3.0 enterprises, and also describes the role of technology and data in applying and measuring change management to achieve Zero Touch IT. The book will categorise the approach in 3 parts:

1) Data: is the bloodline for an enterprise in a digital business. It is, however, frequently neglected and marginalised Â- often used only for the purpose of analytics or security. The book will cover all aspects of data in an organisation, from security to structure issues and from data science to data-centricity, as the latter has a strong connection to point 2, below. This is, after all, a book about how to become a Data-Centric Enterprise. Many organisations embark on the journey of building a Âdata lake which is a costly and time-consuming exercise. The point that many organisations forget is that they will need to secure all of their data, but they donÂt need to structure and analyse all of the data. The cost of managing a data lake can reduce significantly if they apply Data minimization policies, where possible, to reduce the amount of unused and irrelevant data. Another point is that the raw data itself is often not of particular interest to the organisation. The trends in that data and the insights that can be derived from it is where the focus should be. The real skill lies in identifying the key business challenges (use-cases) that the data can resolve, and understanding how to answer them through data science and Machine Learning.

2) Culture: of traditional organizations is often hierarchical and siloed. Roles are defined and interactions between the silos are more of a norm than a rule. Information is power and willingness to share knowledge is limited. The book will recommend the path and approach to building a digital culture and also warn the analogue companies that if they donÂt change the ways of working and operating model, they wonÂt survive the Digital Age. Based on ForbesÂs research Seventy-five percent of companies in the Standard & PoorÂs 500 will be new entrants by 2027 at the current run rate.

3) Technology: is usually the focal point for transformation as it is tangible and easy to understand. It is a mature market with easy to comprehend benefits - e.g. move applications from desktop to cloud and spin off different web-based tools, deploy robotics and automate some of the systems and back-office functions to save money. However, without a centralized strategy and a data-centric approach, many corporations spend large sums of money on applications and tools that can lead to more unstructured and sometimes insecure data and add complexity to already complex IT landscapes. Technology is a business enabler and in Âanalogue companies, is often used as the focus to see immediate results without consideration of the long-term impact to operational costs. In order to gain the highest ROI in Technology investments, corporates must reduce their legacy technology and application landscape, which will support security efforts and facilitate the design of Global business processes. Only then can digital technology be implemented in a user friendly, cost-efficient, and sustainable way, as outlined through this book

商品描述(中文翻譯)

這本書是技術領導者支持其數位化旅程的實用指南。它描繪了一條通往企業數位化的實用路徑,強調了運營模式變革的必要性、文化變革的重要性、衡量成功的價值,以及引導變革和創建變革領導者生態系統的實用 HOW-TO 範例。本書描述了數位 3.0 企業的組成部分和特徵,並說明了技術和數據在應用和衡量變革管理以實現零接觸 IT 中的角色。本書將方法分為三個部分:

1) 數據:是數位商業中企業的命脈。然而,它經常被忽視和邊緣化,通常僅用於分析或安全的目的。本書將涵蓋組織中數據的各個方面,從安全到結構問題,從數據科學到以數據為中心,後者與下面的第二點有著密切的聯繫。畢竟,這是一本關於如何成為數據中心企業的書籍。許多組織開始建立「數據湖」,這是一項昂貴且耗時的工作。許多組織忘記的一點是,他們需要保護所有數據,但不需要結構化和分析所有數據。如果他們能在可能的情況下應用數據最小化政策來減少未使用和不相關數據的數量,管理數據湖的成本可以顯著降低。另一點是,原始數據本身通常對組織並不特別有趣。數據中的趨勢和可以從中得出的見解才是應該關注的重點。真正的技能在於識別數據可以解決的關鍵商業挑戰(使用案例),並理解如何通過數據科學和機器學習來回答這些挑戰。

2) 文化:傳統組織的文化通常是層級化和孤立的。角色是明確的,孤立之間的互動往往是常態而非規則。信息就是權力,分享知識的意願有限。本書將建議建立數位文化的路徑和方法,並警告類比公司,如果他們不改變工作方式和運營模式,他們將無法在數位時代生存。根據《福布斯》的研究,到 2027 年,標準普爾 500 指數中的 75% 公司將是新進入者,這是基於當前的運行速度。

3) 技術:通常是轉型的焦點,因為它是具體且易於理解的。這是一個成熟的市場,具有易於理解的好處,例如將應用程序從桌面移至雲端,推出不同的基於網絡的工具,部署機器人並自動化一些系統和後台功能以節省成本。然而,沒有集中策略和以數據為中心的方法,許多企業在應用程序和工具上花費大量金錢,這可能導致更多的非結構化和有時不安全的數據,並增加已經複雜的 IT 環境的複雜性。技術是業務的促進者,在「類比」公司中,通常被用作立即見效的焦點,而不考慮對運營成本的長期影響。為了在技術投資中獲得最高的投資回報率,企業必須減少其舊有的技術和應用程序環境,這將支持安全工作並促進全球業務流程的設計。只有這樣,數位技術才能以用戶友好、成本效益高和可持續的方式實施,如本書所述。

作者簡介

Azita Esmaili is Vice President - Digital Transformation at Capgemini, as well as a Digital Transformation Expert at Chalmers University of Technology, Sweden, and the Institute of Directors, UK. She received her BSc in Electrical Engineering from Chalmers University of Technology, her mini MBA from University of London, and has studied Machine Learning at Stanford. SheÂs a seasoned digital transformation executive and Board advisor with extensive experience in digitalisation to achieve: customers experience enrichment, R&D and open innovation, enterprise transformation & CIO practices, project recovery including global agile team set up/operationalisation, cyber security & risk management, data strategy and management in both established corporate entities and start-ups. She has a wealth of experience from Automotive, Consumer Products & Retail, Oil & Gas, Financial Services, Utilities, Manufacturing, Gaming/Betting and Government sectors and has delivered large scale business and technology transformation programmes globally.

作者簡介(中文翻譯)

Azita Esmaili 是 Capgemini 的數位轉型副總裁,同時也是瑞典查爾默斯科技大學的數位轉型專家以及英國董事學會的專家。她在查爾默斯科技大學獲得電機工程學士學位,並在倫敦大學獲得迷你MBA,還曾在史丹佛大學學習機器學習。她是一位經驗豐富的數位轉型高管和董事會顧問,擁有廣泛的數位化經驗,旨在實現:客戶體驗提升、研發與開放創新、企業轉型與CIO實踐、專案恢復,包括全球敏捷團隊的建立與運營、網路安全與風險管理、數據策略與管理,無論是在成熟的企業還是初創公司中。她在汽車、消費品與零售、石油與天然氣、金融服務、公用事業、製造、遊戲/博彩和政府部門擁有豐富的經驗,並在全球範圍內交付了大規模的商業與技術轉型計劃。

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