Ensure organizations can derive value from data

Focus on how decisions are made about data and how people and processes behave around data

general risk

Data Security

privacy

Regulatory Compliance

Data quality improvement

Metadata management

Project development efficiency

Supplier management

It does not end with a project, but is an ongoing process

Is management change that goes beyond disposable data governance components to implement a sustainable path

Data governance is not an add-on management process

Data governance activities need to integrate software development methods, data analysis applications, master data management and risk management

Data governance done well has a positive financial impact, but proving this requires understanding the starting process and planning measurable improvements

Successful data governance starts with vision and committed leadership, with a data strategy guiding data management activities and being driven by the enterprise's business strategy

Data governance is a business management program, so IT decisions related to data must be managed just as data-related business activities are managed

Business Data Management Specialists and Data Management Professionals share the responsibility

Data governance activities occur at the enterprise level and at the local level, but often at levels in between

Since governance activities require coordination across organizational functions, an operational framework must be established for data governance projects to define their respective responsibilities and work content.

Guiding principles are the basis for data governance activities, especially data governance strategies

overall perspective

Ensure data is managed appropriately rather than managing data directly

execution perspective

Manage data to achieve established goals

Legislative functions

judicial functions

perform functions

Legislative functions

judicial functions

law enforcement functions

There can be multiple tiers to address issues at different levels within the enterprise—local, departmental, and enterprise-wide

Chairman, Secretary, CEO

The primary and highest authority on data governance in an organization, assisting in overseeing, supporting and funding data governance activities

Composed of cross-functional senior managers

Funding of data governance initiated activities, usually based on advice from the CDO/DGC

The committee may in turn receive higher levels of oversight

Manage data governance planning (such as the development of systems and indicators), issue and escalation handling

Approve and publish

Maintains an ongoing focus on enterprise-wide data definitions and data management standards across all DAMA knowledge areas, consisting of coordinating roles known as data stewards, data custodians, and data owners

Collaborate and consult with the project team on data definition and data management standards, etc., composed of members focusing on one or more areas or projects, including business data managers, technical data managers or data analysts

Compile and draft various systems/indicators

Large organizations may have department-level or data governance steering committees distributed under the guidance of the enterprise data governance committee (DGC). Small organizations should avoid this complex setup.

A glossary of business terms usually compiled by management specialists becomes a recording system of business terms related to data

Meeting expectations for high-quality data, often based on business process specifications for creating and using data

Data stewards are typically involved in identifying, resolving, or facilitating the resolution of data-related issues.

The data management specialist is responsible for ensuring that the data governance system and plan are followed in daily work or every project

Represent the interests of others and manage data assets in the best interests of the organization

Alternative role for the CDO, serving as chair of the data governance body and perhaps even a high-level sponsor

They are senior managers of the Data Governance Council DGC

They oversee the data function across business areas

They are business domain professionals, often recognized domain experts, with responsibility for a data domain

They are a business data steward and have decision-making authority over the data in their domain

They are IT professionals in a certain knowledge area, such as data integration specialists, database administrators, business intelligence specialists, data analysts or metadata administrators

This is particularly important in large organizations, where they lead and represent business management professionals and technical management professionals in discussions across teams or between data professionals.

Is the process of understanding and calculating the economic value of data to an organization

Most stages of the data lifecycle involve costs (including acquiring data, storage, management, and disposal)

Data is only valuable when used, and while used it also incurs costs associated with risk management

Therefore, the value is shown when the economic benefits of using data outweigh the above costs

replacement cost

Market value

Discover business opportunities

Sales data

risk cost

Data management maturity

Change ability

Collaboration preparation

Align with the business

The value of data to the organization

business model

cultural factors

regulatory impact

By adopting a standard, an organization only needs to make a decision once and codify it into a set of implementation details, rather than having to make the same decision again for each project.

Data standards are often drafted by data management professionals

Data standards should be reviewed, approved and adopted by a data governance office or an authorized working group such as the Data Standards Steering Committee

Data management specialists are usually responsible for organizing the content of business data tables

Since people have different speaking habits, it is necessary to establish a glossary

Because data represents something other than itself, clear definition of data is particularly important

Target

Data governance board supports and approves data architecture

The data governance committee should organize relevant work and set standards for this