Data Governance Maturity at Your Organization?

Data Governance
Data Governance Maturity
If you are a Healthcare provieder, having a complete view of your member’s data will improve your service. The more detail you have on each member, the more effective you can be at providing the service they deserve.

It is probable that all of the information on a member is stored in several different systems – so getting the complete picture can be difficult. In addition – controlling access to this information is an important part of any organization’s overall strategy. And finally – data assets become more valuable the more you use them. If three divisions of an organization all share information about their interactions with a customer, the organization as a whole is better able to service the customer, at lower cost and with high customer satisfaction.

Data governance is used by organizations to exercise control over processes and methods used by their data stewards and data custodians in order to improve data quality. Data governance is a control that ensures that the data entry by an operations team member or by an automated process meets precise standards, such as a business rule, a data definition and data integrity constraints in the data model. A data governor uses data quality monitoring against production data to communicate errors in data back to operational team members, or to the technical support team, for corrective action.

How far along in the Data Governance journey is your organization?

  1. Is your organization currently unaware of Data Governance?

There is minimal focus on data quality or security, data isn’t prioritized in any meaningful or actionable way, there is no measurement around data governance and it isn’t managed.

  1. Is your organization in the initial phases of Data Governance?

Data Governance is primarily grassroots driven by a few passionate individuals, rules are implemented in an ad hoc fashion, with policies or standards are part of functional requirements in an IT project, which is only considered successful if the IT release is considered successful.

  1. Is Data Governance at your organization repeatable?

For these organizations – data governance is still grassroots, but gaining attention at the IT management level. There are documented IT governance and standards driving metadata resuse and improved collaboration across IT projects. The success is measured primarily on improved IT efficiencies. This is typically managed through a pilot project.

  1. Defined Data Governance

This is lead primarily from senior IT through adoption of competency centers and centers of excellence. Project leadership is primarily through IT, but there is business involvement. The success is measured on operational metrics at a project level.

  1. Data Governance that is Managed

The Data Governance program is sponsored by business leaders, initiated as part of a broader strategic enterprise information management program. Data Governance will live through multi-phase, multi-year efforts but measured based on the success of the program.

  1. Optimized Data Governance

There is top-level executive sponsorship and support. Data governance is embraced as a self-sustaining core business function managing data as a corporate asset. Success is measured on the total impact to the business, not just confined to specific programs or strategies.

There is a fantastic site ( ) that is an open peer-to-peer community of data governance practitioners, evangelists, thought leaders, bloggers, analysts and vendors. The goal of the governyourdata community is to share best practices, methodologies, frameworks, education, and other tools to help data governance leaders succeed in their efforts.

One of our customers, UPMC has a great blog post on their implementation of a Data Governance council and the challenges they faced making it a priority in their organization.

To figure out where on the continuum of data governance maturity – there is a Data Governance Maturity Assessment Tool through the site. A maturity assessment level sets current gaps and strengths and paves the way for defining a successful strategy. The process of assessing an organization’s maturity should include interviews of relevant business and IT staff, business risk surveys, business analyst time and activity analysis, and other techniques. Once your assessment is completed – you can identify the appropriate steps you need to plan for to develop an Optimized Data Governance approach for your organization. Where does your organization stand?