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Articles - Data Quality

The ROI of Data Quality
by Len Dubois
Enterprise-class data quality solutions incorporate a scalable, repeatable process for data quality management.

How Mature is Your Data Management Environment?
by Tony Fisher
At the initial stage of the Enterprise Data Management Maturity Model, confusion reigns. Complicating the problem is that most organizations are in denial about the quality and usefulness of corporate data.

A Business Approach to Data Quality: Achieving and Maintaining First-Class Organizational Data
The key to understanding any company’s operations is understanding the data. Consequently, the better quality the data is, the better the understanding.

Ten Mistakes to Avoid When Building a Data Quality Program
by David Loshin
C-level executives are finding themselves personally accountable for both the levels and processes associated with data governance and quality assurance.

Data Monitoring: Add Controls to Your Data Governance and Compliance Programs
by Tony Fisher
With data monitoring, you can embrace techniques that will help you maintain the highest data-quality standards over the long haul.

A Data Mining Primer for the Data Warehouse Professional
The key to data mining is ensuring that you have a foundation of quality data that is clean, consistent, and accurate.

Integrating Data Quality into Your Data Warehouse Architecture
Why is the quality of data—the most important element in a data warehouse—so often ignored until it is too late? Is it because it is too complex to solve, or is it simply not our business?

Achieving Data Quality Through Master Data Management
by John Bair
As companies look to better manage their data, achieving a higher level of information quality is a key objective. Master data management (MDM) is an essential component that helps companies manage reference data across business functions and processes.

Taking Data Quality to the Enterprise through Data Governance (Report Excerpt)
by Philip Russom
Get ready for enterprise data quality. It will improve many business and technical processes, if you’re open to its diversity and give it necessary organizational structure.

Data Quality for Enterprise Risk Management
by Vikram Ramchandra, Sreedhar Srikant
By developing a data-quality program focused on business initiatives and treating data as a true enterprise asset, high-quality data for initiatives such as ERM can be assured.

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