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:

Implementing Change Management

Most organizations have string change management – or at least change control – mechanisms for technology. They usually have change management for software applications. They have change management for websites. And yet, many organizations do not practice structured...

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...

Defining Data Governance

How you define your program will influence your ability to manage it — to keep all participants on focus, in sync, and striving toward the same goals.

Goals and Principles for Data Governance

What do you want Data Governance to accomplish?  Regardless of the focus of your program, chances are you hope to accomplish the following universal goals for Data Governance programs: Goal – Enable better decision-making Goal – Reduce operational friction Goal –...

Setting Governance Roles and Responsibilities

Who does what in a Data Governance program? First, a group of individuals (or a hierarchy of groups) representing a cross-section of stakeholder groups makes a set of rules in the form of policies, standards, requirements, guidelines, or data definitions. (Or, they...

Dealing With Politics

It’s essential that Data Governance and Stewardship program facilitators avoid being “caught up” in politics. It’s our jobs to acknowledge the realities of the situations we work with, while avoiding taking sides or engaging in behaviors that could be perceived as favoring one set of data stakeholders at the expense of others.

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...

Choosing Governance Models

It’s important to define the organizational structure of your Data Governance program. But before you can do that you have to define your governance model at a higher level. You need to consider what types of decisions your governance bodies will be called upon 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...

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 &...