Subscribe to DMU

Search DMU Library


Data Quality

Challenges of Improving Metadata Quality

There are many sources of data in every organization, and many of these sources are valid.  Therefore, challenges can exist about which source is the standard, and what definition is used for an attribute The World Trade Organization heard testimony

Read More

Successful Information Quality Management Methods

An organization’s data quality is often the result of poor metadata management.  Improve business and technical metadata and manage it properly to ensure higher quality data and information. The state of an enterprise’s information depends on its data quality and

Read More

6 Critical Dimensions for Measuring Data Quality

Data quality is dependent on achieving measurable goals across six critical dimensions All professionals understand the importance of making data-driven decisions. But the presence and usage of data do not guarantee efficient and productive results for any organization. What really

Read More

Challenges in Achieving Data Quality Accuracy

Determining “accuracy” is not always an easy task, and not all data lends itself to discovering a single value for data quality accuracy Several recent articles have brought to light how difficult it can be to determine and maintain the

Read More

Information Quality Means More than Accuracy

Accuracy is not the only measurement that can or should determine quality for an organization’s data.  Data can be accurate in one context and inaccurate in another, and both versions can have value. Many people think accuracy is the sole

Read More

Accuracy is Foundation for Data Quality

Accuracy, more than most of the other data quality characteristics, is often considered to be the foundational dimension of good data quality Accuracy is one of the 16 characteristics or dimensions of data quality.  It is considered to be the

Read More

Information Quality Characteristics

Most data quality experts identify 16 major characteristics that affect the quality of data and information.  It is important to understand their context before examining each characteristic. Information quality can have many different definitions.  When users describe issues with data,

Read More

The 3 C’s of Information Product Management

To enable information quality in any environment, it is essential to identify the collectors, consumers, and custodians of each item of information and define their responsibilities clearly. If organizations want to treat information as a product, then they must look

Read More

Treating Data as a Product

A key principle to start and sustain any successful business process is to “treat data and information as a product.” There are many issues related to information quality and information management practices that affect information quality in organizations.  Every organization

Read More