The Economics of Data, Analytics, and Digital Transformation: The theorems, laws, and empowerments to guide your organization's digital transformation

Schmarzo, Bill

商品描述

Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning

 

Key features

  • Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset
  • Acquire implementable knowledge on digital transformation through 8 practical laws
  • Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly

 

Book Description

In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.

 

The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning.

 

By the end of the book, you will have the tools and techniques to drive your organization's digital transformation.

 

Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book:

"Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon."

 

What you will learn

  • Train your organization to transition from being data-driven to being value-driven
  • Navigate and master the big data business model maturity index
  • Learn a methodology for determining the economic value of your data and analytics
  • Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used
  • Become aware of digital transformation misconceptions and pitfalls
  • Create empowered and dynamic teams that fuel your organization's digital transformation

 

Who this book is for

This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

商品描述(中文翻譯)

建立一個持續學習和適應的組織,能夠從數據和先進分析(如人工智能和機器學習)的融合中提取越來越多的業務、客戶和運營價值。

主要特點:

- 掌握大數據業務模型成熟度指數方法,過渡到價值驅動的組織思維
- 通過8個實用法則獲取可實施的數字轉型知識
- 探索數字資產(數據和分析)背後的經濟學,當正確構建和部署時,其價值會增值

書籍描述:

在當今數字時代,每個組織都擁有數據,但僅僅擁有大量數據並不足以成為市場區分因素。《數據、分析和數字轉型的經濟學》旨在提供對真正市場區分因素的可行洞察,包括激發創新、提供洞察、幫助做出實際決策、產生價值並為企業實現使命成功的組織的數據驅動分析產品。

該書首先建立您的價值驅動思維,介紹大數據業務模型成熟度指數、成熟度指數階段以及如何運用該指數。您將探索價值工程,學習如何識別關鍵業務倡議、利益相關者、先進分析、數據來源和儀器策略,這些對於數據科學的成功至關重要。該書將幫助您通過人工智能和機器學習加速和優化公司的運營。

通過閱讀本書,您將掌握推動組織數字轉型的工具和技術。

以下是Booz Allen Hamilton的數據科學家和執行顧問Dr. Kirk Borne對該書的評價:

“數據分析首先應該是關於行動和價值。因此,這本書的價值在於它力求可行。它提供了一系列以目的為驅動的點火點,您可以采取行動。”

您將學到什麼:

- 訓練您的組織從數據驅動轉變為價值驅動
- 瀏覽和掌握大數據業務模型成熟度指數
- 學習確定數據和分析的經濟價值的方法論
- 了解人工智能和機器學習如何創建隨著使用次數增值的分析資產
- 意識到數字轉型的誤解和陷阱
- 創建能夠推動組織數字轉型的授權和動態團隊

本書適合對經濟學基礎、數據和數字轉型感興趣的學生,以及希望學習如何利用數據和分析加速業務職業生涯的企業領導者和專業人士。