Organizations are learning that they can reap great benefits from data, but do they understand how important it is to be able to trust the data that drives their decision making? Tech Target brought this interesting information to us in their article, “Why businesses should know the importance of data quality.“
At a fundamental level, data trust is when an enterprise has confidence that the data it is using is accurate, usable, comprehensive, and relevant to its intended purposes. On a bigger-picture level, data trust has to do with context, ethics, and biases.
When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analyses, and reckless recommendations.
However, simply having high-quality data does not, of itself, ensure that an organization will find it useful. Findability is key. Metadata makes data findable. However, findability works only when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
|
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
