How Do You Know What You Don’t Know?
Enterprises commonly set boundaries and processes to control the flow of information, to ensure best practice in activities such as records management, data protection, and compliance. This approach of controlling the information flow is often cumbersome and impacts the ability to manage content throughout the information lifecycle, including capture, storage, retrieval, archival, and disposal.
The crux of the problem is the inability to capture accurate and consistent metadata, to enable the subsequent steps to be correctly completed. Hint – could all this be blamed on end user tagging? Probably. But I’m not going to go there today.
Using taxonomy management, auto-classification, and semantic metadata generation as a solution for enterprise content management offers the capability of automatically grouping unstructured content, based on an understanding of the concepts and ideas that share mutual attributes, while separating dissimilar concepts.
This approach is instrumental in delivering relevant information via the taxonomy structure, as well as using the automatically generated semantic metadata in enterprise search to reduce time spent finding information. This increases the relevancy and accuracy of search results, and enables the reuse and repurposing of content. Using one or more taxonomies, unstructured content can be leveraged to improve any application that uses metadata.
One of our clients used over 50 taxonomies to improve decision making, resulting in an annual savings of millions of dollars – yes, millions. Would one or more taxonomies help you in your decision making?
To get to grips with taxonomies, access our Using Metadata-Driven Taxonomies to Solve Business Problems recording. This popular webinar explores how easy and robust our unique taxonomy component is. See automatic generation of metadata, auto-classification to a taxonomy, and how to manage metadata.