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
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
There are many characteristics of information quality. Some are intrinsic to the nature of the data, including objectivity, believability and reputation. Many discussions about the quality of data revolve around the issue of accuracy. There have been many books and
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
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
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
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,
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
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
Every organization needs a set of roles that are responsible for managing the quality of the data and metadata that are used in the enterprise’s operations and analytics. These roles are the “data quality heroes.” Introduction Data management entails the
