Welcome! GovernYourData.com is an open peer-to-peer community of data governance practitioners, evangelists, thought leaders, bloggers, analysts and vendors.
The goal of this community is to share best practices, methodologies, frameworks, education, and other tools to help data governance leaders succeed in their efforts.
Achieving enterprise-wide data governance is a huge task, so it makes sense to break that journey down into more manageable steps. ‘Just enough’ data governance is a resource-efficient path to data governance that starts by building early credibility in a strategically chosen area. One where success can breed further success.
The goal of data governance is not just to clarify who “owns” data but also to optimize its value. The data itself
is merely the means to the desired end of improved business performance. Accordingly, the responsibility for
data governance efforts should fall at least as much on business as it does on IT—and preferably more.
This paper is intended to help data governance evangelists in both business and IT generate the momentum
they need to make data governance an enterprise-wide priority.
Government rules. Industry regulations. Compliance challenges all businesses—and you may feel like the amount of effort and money required to ensure compliance doesn’t generate any real value. “Seven Data Strategies for Regulatory Compliance,” authored by David Loshin, provides actionable insights so you can build a data governance program that simplifies the compliance process.
This white paper focuses on the importance of getting your organization’s business users to understand the reasons why metadata is essential to them. It discusses the importance of data to a business’ health overall, presents some astounding numbers about the growth of data in the world, and explains metadata in non-technical terms. It examines how metadata is crucial to making better business decisions, enabling business processes, supporting data governance, and presents two real world business profiles to provide down to earth examples. Metadata is not some philosophical construct discussed in the back rooms of IT departments; metadata is the glue that holds together the wealth of an enterprise, its data.
Key to successful data governance is the management of metadata—the frame of reference giving data its
context and meaning. Effectively governed metadata provides a view into the flow of data, the ability to perform
an impact analysis, a common business vocabulary and accountability for its terms and definitions, and finally
an audit trail for compliance. The management of metadata becomes an important capability enabling IT
to oversee changes while delivering trusted, secure data in a complex data integration environment. Good
metadata management tools, then, play a central role in holistic data governance.
Many of the challenges to master data management (MDM) are organizational and collaborative issues—not technical ones. Luckily, many of MDM’s challenges can be remedied by a well-designed and mature program for data governance (DG). There are good technology and business reasons why master data management needs data governance. This TDWI Checklist Report drills into seven of these reasons as well as use cases and organizational situations where DG and MDM work well together.
This TDWI Checklist Report makes a case for applying data quality (DQ) techniques and best practices to data governance (DG) as a way of kick-starting and sustaining data governance.
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