All Data Governance programs are not alike. Quite the contrary: programs can use the same framework, employ the same processes, and still appear very different.

Why is this? It’s because of what the organization is trying to make decisions about or enforce rules for. An organization that is concerned with Data Privacy or Compliance is going to look at its data differently than one that is concerned about implementing a new Data Warehouse.

Focus Areas for Data Governance

In this section, we look at Data Governance programs with six common focus areas. It’s worth noting: A single framework can help organize efforts for all of these focus areas because of what all Data Governance programs have in common:

  • They all have activities that address a three-part governance mission: to create rules, resolve conflicts, and provide ongoing services.
  • They all employ most or all of the universal components of a Data Governance program.
  • They all address universal governance processes and services, such as Issue Resolution and Stakeholder Care.

Data Governance programs with different focus areas will, however, differ in the type of rules and issues they’ll address.

They’ll differ in the emphasis they give to certain data-related decisions and actions.

And, they’ll differ in the level of involvement required of types of data stakeholders.

Who is a data stakeholder? Any individual or group that could affect or be affected by the data under discussion. Some stakeholders are obvious – business groups, IT teams, Data Architects, and DBAs. Other stakeholders may not be so obvious for a given decision or situation. Knowing which stakeholder to bring to the table – and when – is the responsibility of the Data Governance team.

Read about Data Governance with a Focus On:

Read Next:

Working with Data Stewards

Approaches to Assigning Data Ownership and Stewardship Organizations can take multiple approaches to assigning Data Owners and Data Stewards for enterprise data. In doing so, they need to consider several factors and answer the following questions.Question #1:  Should...

Governance Communications

At a Data Governance Conference in Orlando, Florida (USA), a group of managers of successful Data Governance programs reached a startling consensus: They agreed that Data Governance is actually somewhere between 80 and 95% communications!How can this be? They said...

Demonstrating Value

Everything an organization does should tie to one of three universal value drivers. Data Governance efforts MUST tie back to one or more of these drivers. And YOU must communicate how it does.

Focus Areas for Data Governance: Data Warehouses and Business Intelligence (BI)

This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. These types of efforts require tough data-related decisions, so organizations often implement governance to help make initial decisions, to...

Governance and Issue Resolution

One of the three most important jobs of a Data Governance program is to help resolve data-related issues. These may be conflicting data definitions, data usage concerns, or problems with how data is sourced, how it is integrated, how it is protected, or a myriad of...

Funding Models: Funding Data Governance

The DGI Data Governance Framework addresses funding two ways: Obtaining funding and support is a phase in the Data Governance Life Cycle Funding is part of one of the components of the framework. What type of funding is needed? Data Governance programs need to...

Establishing a Data Governance Office

Most organizations that begin a formal Data Governance and Stewardship effort need a support team to facilitate and coordinate activities of councils, stewards, and stakeholders. This support team may be individual contributors who have been doing this work informally...

Focus Areas for Data Governance: Architecture, Integration

This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities.What other types of groups and initiatives might want...

Data Governance Program Phases

As you perform the activities needed to gain support and funding, remember that your program may plan to address multiple focus areas. Each new effort should be introduced using the seven steps of the life cycle. Even specific governance-led projects, such as creating a set of data standards, will want to follow the Data Governance Life Cycle steps.

Focus Areas for Data Governance: Data Quality

This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data Acquisition or  Mergers &...