In this digital age in which we are living, we are drowning in an ocean of data. Organizations have a large number of data entities and data elements, as well as a large volume of data corresponding to the same. Challenges arise as they continue to amass more and more data with each passing day. With the large amount of data entities and data elements, as well as a large volume of data corresponding to the same amount of data streaming in, it’s important to know what is quality, usable data, and what is not. Quality Digest brought this interesting topic to our attention in their article, “Critical Data Elements and Data Quality.”
Data that is considered high quality if they are fit for their intended use. Data quality can be defined as an evaluation of whether the data serves a purpose in a given context. Although data quality is an abstract concept and as such, cannot be measured, it does has several dimensions that can be measured.
As data is becoming a core part of every business operation the quality of the data that is gathered, stored and consumed during business processes will determine the success achieved in doing business today and in the future.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.