Data Governance is a balancing act.

  • On the one hand, you need to exert control over how groups create data, manage data, and use data. On the other hand, you need to promote appropriate levels of flexibility.
  • You need to ensure that data-related efforts support the universal goals of increasing revenue and the value of assets while also managing costs and complexity. But you also need to ensure that data is used according to compliance requirements, that sensitive data is secure, and that contractual and internal requirements are met.
Governance and Alignment

    Yes, Data Governance is a balancing act. You need to make rules, then monitor them and resolve issues. And you need to provide ongoing care and support for your data stakeholders. You need to understand everyone’s position, while maintaining a role as “trusted broker” of information.

    You need to be able to bring together a diverse group of stakeholders to make rules or resolve issues. You need to be able to align the goals/drivers/constraints of Privacy, Legal, Compliance, Security, Quality, Change Control, and other horizontally-focused groups. You need to align the goals/drivers/constraints of various verticals within the enterprise. You need to align all these groups with the strategies and plans underway by your Data Architecture, Master Data, Metadata, and other enterprise data groups.

    Being a Data Governance worker takes more than knowledge about data, It requires diplomatic skills and the ability to translate one group’s needs into language that everyone in a diverse team of decision-makers can understand.

    Luckily, these skills can be learned. Your staff can be trained to become more skillful facilitators, communicators, and consensus builders. They can learn to govern with grace.

    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...

    Focus Areas for Data Governance: Privacy, Compliance, Security

    This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements.This...

    Focus Areas for Data Governance: Management Alignment

    This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts.Managers may realize they need to come together to make...

    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...

    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...

    Engaging Stewards and Stakeholders

    It seems like there are two types of Data Governance and Stewardship programs: Thriving ones, with highly-engaged stakeholders, and Ones whose futures are in question, since stakeholders and stewards are only sporadically involved or give only weak support to the...

    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.

    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.

    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...

    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.