In a decentralized operating model, data management functions are distributed among different business units and IT departments

advantage

shortcoming

Through the RACI (who is responsible/who approves Accountable/who consults/who informs Incoened) responsibility matrix, a series of documented connections and responsibility systems are used to make decentralized informal organizations more formal, called a network model

advantage

shortcoming

The most formal and mature data operation model

advantage

shortcoming

In a hybrid model, a centralized data management center of excellence works with decentralized business unit teams, often through an executive steering committee representing key business units and a series of technical working groups focused on specific issues.

advantage

shortcoming

advantage

shortcoming

The operating model is the starting point for improving data management and data governance practices

Because the operating model will help with the definition, approval, and enforcement of policies and procedures, it is critical to determine which operating model is best for the organization

Most organizations operate in a decentralized model before moving to a formal data management organization

As an organization sees the impact of data quality improvements, it may have begun developing accountability systems through the data management RACI matrix and evolved into a network model

Over time, as collaboration among distributed roles becomes more evident, economies of scale will establish, pulling some roles and people into organized groups, eventually evolving into a hybrid or federated model.

Whatever the model, remember simplicity, usability are critical for acceptance and sustainability

Chief Data Officer Organization

data governance organization

Data Quality Team

Enterprise Architecture Team

Establish an organizational data strategy

Align data-centric needs with available IT and business resources

Establish data governance standards, policies and procedures

Provide advice to the business to achieve data mobilization, such as data technologies for business analytics, big data, data quality

Communicate the importance of good information management principles to internal and external stakeholders within the business

Oversee the use of data in business analytics and business intelligence

data governance

Data management

Data quality management is a critical capability for data management practices and organizations

The enterprise architecture team is responsible for designing and documenting the organization's overall blueprint, articulating how to achieve its strategic goals and optimize them

business structure

Technology Architecture

data architecture

Application architecture

Global organizations require special attention

executive role

business role

IT role

mixed role