成为数据驱动型组织：解锁数据价值（中英文多图）
近来读了不少关于数据方面的书。这本是一个小巧，通俗易懂的小书。摘取书里的一些要点作为记录。
1. The Data Value Chain
DATA: Led by Data Office
INFORMATION: Led by Data Office
INSIGHT: Led by Data Office & Business
VALUE: Led by Business
2. The Targets of a Data Office
High-Quality Data as the Single Source of Truth:
Its structure and content reflect the company's business model and reality
It is used across multiple systems, multiple applications, and multiple processes
It covers the entire business (all functions and countries)
It is unambiguous and without duplicates
It is well-maintained through a mandatory governance model
Proper Handling of Data:
Setup of a governance framework to maintain both data structure and content
Ongoing change management and data quality management
Proper translation of business logic into a comprehensible data structure
Its formalization (glossary, attributes, relations), to avoid ambiguity
Shaping the solution environment to maintain, hold and provide data (business ownership)
3. A Data Vision for the CDO
DATA: reliable, undisputed, easy to access
Everybody benefits from crystal clear data, centrally governed
People can focus on using data, without having to think about origin or correctness
Not everybody may understand it all - but everybody knows how important it is
Everybody is conscious about data quality
There is board trust in the quality of our company's data
Data is treated as an asset, with the same diligence as any other asset
4. The SCPDS Change Process
(SCPDS: Strategy-Capabilities-Processes-Data-Solutions)
Business Model and Strategy
What should our customers, suppliers, team members, shareholders expect?
-Cost or quality leadership?
-Individual solutions or commodities
-Technology-driven or people-driven
-Etc.
Required Capabilities
Which services do we need to offer? (Define target product portfolio!)
What is legally accepted or required (compliance)
Which capabilities do we want to have?
Consider indirect capabilities such as ability to change quickly
Define Quality metrics
Business Process and Logic (Business Process Owners)
Which processes need to be followed?
-Human-triggered processes (e.g., steps to open an account)
-Data processes (e.g., invoice creation)
-Hybrid processes (e.g., credit checks)
Set non-functional requirements
Describe processes in an IT-agnostic way!
Data Rules, Standards and Definitions (Business Data Owners)
Which data-related activities happen during a process, and when?
How do data elements relate to each other？
Who owns which data, who can change it?
Which data terms are used？(glossary)
Data record operation which defined interfaces:
-Read/search
-Create
-Update/expire
-Validate
IT Solutions (Business Application Owners)
Technical Design, also considering technical requirements:
-Data entry and retrieval screens
-Physical data model
-Data transmission and storage
-Middleware
-Architecture
-Maintainability etc.
for databases, shared services and other data applications
5. Growing the Three Dimensions of Data
Future Opportunities
Latest Data Science
Robotics Process Automation
New business models
Solid Foundation
Single source of truth
Cross-functional work
Company-wide standardization
Improving Current
Increasing awareness
Monitoring and improving data quality
Driving compliance
Avoiding errors
6. The Data Governance Pyramid
Review and Decision Process
Data Community: Subject matter experts work together, exchange knowledge, make proposals
Data Collaboration group on 3rd hierarchy level, to develop concepts, review, propose, decide
Executive Data Decision body 2nd hierarchy level; cross-functional!
Management Board as final escalation body, as well as for strategic Board-level decisions
英文版：
中文版：