Limited Filtering of Search Results

To produce rapid, relevant and consistent search results, you need a data classification engine that can ingest the semantic and structural rules of a specific data taxonomy, and then bulk-process large numbers of files by intelligently tagging them with the right metadata according to taxonomic rules. Unfortunately, you can’t achieve either of these tasks with out-of-the-box SharePoint.

Native SharePoint search is also limited in its ability to classify content according to criteria that can’t be captured using keywords. For example, knowledge workers and organizational leaders alike often find it necessary and useful to categorize documents based on their level of importance, so a search engine should be able to sort results with the most relevant and important findings at the top of the list.

Without additional configuration, SharePoint search lacks the ability to sort results by relevance, even if metadata has been diligently and consistently applied to the whole repository. This is because the keywords used in SharePoint metadata can’t adequately denote attributes such as data importance or sensitivity. Consequently, a search query based on keywords alone will return a range of results with varying degrees of importance, listed by age.

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