Lean Data Methodology

A Data-Driven Digital Transformation Framework

Lean Data Methodology

About the Book

A systematic framework for data-driven digital transformation guided by lean thinking principles, authored by digital transformation expert Shi Kai and published by China Machine Press in 2023. The book comprehensively presents the strategy, methods, paths, and practices of using data as a production factor, guiding enterprises to build new capabilities and evolve into digitally native enterprises.

Author: Shi Kai
Publisher: China Machine Press
Published: 2023
ISBN: 978-7-111-71721-8
Price: ¥129

Core Methodology Framework

Four Key Components Based on Lean Thinking

📜

Lean Data Manifesto

Establishes transformation values of "value-oriented, scenario-driven, agile iteration" and proposes ten principles of data production as action guidelines.

🛤️

Digital Transformation Path

Implements transformation through a three-step approach: "business goal alignment - scenario-based co-creation - agile iteration", accompanied by a petal model to map the transformation path.

🏢

Digital Enterprise Model

Defines six core capabilities: data strategy, products, governance, collaborative innovation, middle platform, and organizational culture.

📊

Maturity Assessment System

Establishes an assessment model covering strategic, governance, and technical dimensions to help enterprises identify their transformation stage.

Implementation Path & Tools

Pioneering "Lean Data Co-Creation Workshop" Tool Suite

🎴

Workshop Process

Adopts card-based tabletop game format to design business scenario role-playing, including standardized props such as requirement definition cards and data asset cards.

  • Includes seven implementation steps: business pain point identification, value scenario definition, data blueprint mapping, etc.

Case Studies & Industry Practices

In-depth Analysis of Multi-Domain Transformation Cases

🎬

Netflix Data-Driven Digital Transformation

🏦

Wells Fargo Data Governance Architecture Evolution

⚠️

Common Misconceptions in Domestic Large Group Digital Transformation

Book Structure

10 Chapters Forming a Complete Knowledge System

1 The Logical Foundation and Industry Background of Data-Driven Transformation
2 Definition and Development History of Lean Data Methodology
3 Data Strategy Planning and Enterprise Capability Building
4 Data Product Design and Value Realization Path
5 Methods for Building a Lightweight Data Governance System
6 Design of Cross-Department Collaborative Innovation Mechanisms
7 Data Middle Platform Architecture and Implementation Strategy
8 Organizational Culture Transformation and Talent Capability Development
9 In-Depth Analysis of Typical Industry Transformation Cases
10 Implementation Guide for Lean Data Co-Creation Workshop

Target Audience & Applications

Serving Three Main Target Groups

👔

Enterprise Decision Makers

Obtain strategic planning frameworks and transformation roadmap design methods

💻

Technical Personnel

Master data middle platform construction and governance system implementation practices

📋

Consulting Service Providers

Learn card tool applications and workshop organization techniques

Accolades & Recognition

🏆

Included in China Software Industry Association Digital Management Certification Training Materials