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Data Governance Channel

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When considering a data governance initiative, it is crucial that you know and are able to communicate clearly about the condition, or quality, of your organization's information. Data - whether about customers, suppliers, finances or inventory items - is at the foundation of all business decisions. And ensuring sound data is paramount to the success of any company.

Achieving data quality is the first step toward a proactive data governance initiative that encompasses all levels of the organization from executive management to focused analysts and data stewards.

The next step is to integrate a sustained effort to monitor, measure and improve data throughout your enterprise. With a solid data governance process in place, you gain confidence in your information - and an auditable trail that objectively demonstrates its accuracy.

When selecting a data quality solution to support your data governance initiative, be sure that it is able to:

Automatically monitor the compliance of data that is streaming from field offices, Web sites and call centers;
Track data conformance over time to understand the impact on report accuracy and decision-making;
Compare third-party data and apprehend unexpected changes to prevent havoc in operational systems; and
Provide a single data platform for managing your governance operations, controlling your information assets and forming decisions for continued growth.

This channel is brought to you by Harte-Hanks Trillium Software and DM Review to provide you with resources and information as your organization embraces data governance.

As a leader in the data quality industry, Trillium Software will keep this site updated with timely and relevant information. From data quality monitoring to automated cleansing and enrichment, global companies worldwide rely on Trillium Software to deliver the tools that support data governance initiatives.

Articles

Do Your Metrics Lie?

BI is booming. Everyone I talk to these days is undertaking or well into a major BI initiative. Enterprise reporting is a product that clearly has been needed, and the BI vendors have responded with enterprise class tools to support enterprise reporting.

Research Indicates Only 12 Percent of Companies Have Adequate IT Governance

Despite the critical importance of technology, only 12 percent said that IT governance was important in their organizations.

Not Your Father’s List Management: MDM Matures, Part 1

How the master data is stored, accessed and propagated to the enterprise indicates master data management’s (MDM’s) evolution in an enterprise. The five stages of MDM maturity can help you gauge your company’s MDM evolution and offer a structured, deliberate pathway forward.

Performance Management and MDM Convergence

Although performance management and master data management are often treated as two distinct disciplines with their own methodologies, tools and implementations, in reality, they are two dimensions of an enterprise information management strategy.

The Politics of Master Data Management & Data Governance

A master data management initiative has the potential to be the most politically charged project your organization has seen in quite a while. Start by understanding the landscape and having a plan to make your MDM strategy successful.

Data Governance: The Enabler of High Performance

Data governance is a key component in effective information management.

How Trends in Data Management Affect Cohesion between Business and IT

There is a move away from individual data integration and quality initiatives towards a cohesion between IT and business units.

Without a Data Governance Strategy

Without a DGS, your organization is clearly in trouble. You may have addressed one or two of the components of a DGS, but without the components that are the most important to your organization, you will waste money

Optimizing Entity Data Quality, Part 1

Undertaking a project to rationalize, cleanse and maintain entity data across an enterprise can be a daunting prospect. My columns this month and next will provide a high-level framework for establishing priorities and creating metrics that you can use to implement an entity data quality enhancement program. The information that you have about businesses - customers, prospects, vendors, counterparties - across your enterprise is actually a bundle of facts, or attributes, about these businesses. Within your…

2008: The Year of Convergence

The year 2007 brought many changes to the data management area, one of which was a greater emphasis on alignment. This coming year will open up the age of convergence.

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