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:

    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...

    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...

    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.

    Starting a Data Governance Program

    A successful Data Governance program does not begin with the design of the program! Before you start deciding who goes on what committee, you should be clear about your program’s value statement. You should have developed a roadmap to share with stakeholders. Those...

    Governance and Decision-Making

    Remember our (long) definition for Data Governance? “Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and...

    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...

    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...

    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...

    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.