Just Enough Data Governance eBook - By Informatica

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.

Holistic Data Governance: A Framework for Competitive Advantage - By Informatica

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.

How to Get C-Level Buy-In for Your Trusted Data Initiatives - By Informatica

New technologies are bringing a greater volume and variety of data to the enterprise than ever before, which means more opportunities to get your hands on valuable information. Unfortunately, it also means it’s harder to ensure that data is clean, connected, and consistent. And if data can’t be trusted, it can’t be used meaningfully.

Download the How to Get C-Level Buy-In for Your Trusted Data Initiatives white paper for help planning a new strategy based on data you can trust—and learn to get the executive sponsorship that can make it happen. In it you’ll find: Tips on establishing business goals, using key metrics and benchmarking your progress; Expert advice and best practices on approaching key stakeholders for support; Real-world examples of the value of trusted data

Seven Data Strategies for Regulatory Compliance - By David Loshin

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.

Navigating the Data Governance Landscape: Analysis of How to Start a Data Governance Program - By Dataversity

Why Your Business Users Need to Love Metadata - By ASG

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.

Metadata Management for Holistic Data Governance - By Informatica

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.

Seven Reasons Why Master Data Management Needs Data Governance - By TDWI

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.

Using Data Quality to Start and Sustain Data Governance - By TDWI

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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