Hello everyone, I am Dugufeng, a former port coal worker, currently working as the person in charge of big data in a state-owned enterprise, and the author of the official account big data flow. In the last two years, because of the needs of the company and the development trend of big data, I began to learn about data governance.
Data governance requires systematic learning to truly master, and professional examination certification is also required to prove one's learning ability and knowledge mastery in data governance. If you have any questions about data governance and data governance certification CDMP, you can refer to my previous article for a detailed introduction.
Total text: 4651 words 8 pictures
Estimated reading time: 12 minutes
This document is based on the collation of learning materials related to data governance, and is collated for the study notes (mind map and knowledge points) of the data governance professional certification CDMP .
The article is long, it is recommended to read after bookmarking.
For subsequent documents, please pay attention to the big data flow of the official account , and will continue to update~
This document is about organization and role management and is divided into 6 parts.
Due to the display of the page, some levels cannot be fully expanded. The structure is shown in the figure below.
1. Understand existing organizational and cultural norms
Data management and data governance organizations need to be flexible enough to work effectively in an ever-evolving environment.
Assess the current state to build an operating model:
How to understand the organization's corporate culture, operating model, and people: 1) The role of data in the organization. What are the key processes that are data-driven? How to define and understand data requirements? What role does data play in organizational strategy? 2) Cultural norms about data. Are there potential cultural barriers to implementing or improving management and governance structures? 3) Data management and data governance practices. How and by whom will data-related work be performed? How and by whom are decisions about data made? 4) How to organize and execute the work. 5) Organization of the reporting relationship. For example, is the organization centralized, decentralized, hierarchical, or flat? 6) Skill level. What is the level of data literacy and data management knowledge from frontline employees to executives, domain experts, and other stakeholders?
The data management organization should align with the company's organizational hierarchy and resources. Finding the right people requires an understanding of the functional and political role of data management within the organization. The goal should be to engage different business stakeholders across functions. What needs to be done: 1) Identify employees who are currently performing data management functions, get to know them and invite them to participate first. 2) Examine the organization's approach to managing data and determine how the process can be improved. 3) From an organizational point of view, plan the various changes that need to be made to better meet the needs.