Classification in NTFS
Despite widespread agreement on the criticality of classification for effective information Findability™, users cannot classify the majority of their information, which is stored in NTFS! The conventional approach requires a migration of information from NTFS to Document Management Solutions, where classification in addition is cumbersome, labor intensive and most often unmanageable. Users don’t see the benefits, so they stop classifying altogether.
iBox’s formula for Findability™ is straightforward:
Get an overview of What-is-iBox? or go directly to the iBox Video
Only iBox makes you realize the benefits of classification in NTFS and other Microsoft content stores
iBox allows instant Findability™ of information by offering:- Taxonomy and ontology models that are universal, complete, relevant, and capable of managing the dynamics of metadata, also for information stored on NTFS!
- Taxonomy and ontology model classification that is universal across systems, rich (with five tags or more), and accurate (an average of 95%), also for information stored on NTFS!
- World class search and facetted navigation
iBox’s formula for Findability™ is straightforward:
iBox offers universal, rich and accurate classification across NTFS and other Microsoft content stores
Even for NTFS, iBox combines a number of fully and semi-automated classification technologies that generate high volume (five tags or more) and accurate classification (on average 95%). iBox classifies files, lists, folders, document libraries, sites and areas. iBox enables metadata classification with synonyms, hierarchies and relations. One of the most important features of iBox is that it “finger prints” individual files so they keep their classification if they are moved. iBox also enables classification of content stores that are not capable of handling metadata management and classification. Any change to the model is reflected in the file classification with no need for re-indexing!Get an overview of What-is-iBox? or go directly to the iBox Video
Classification in NTFS
Despite widespread agreement on the criticality of classification for effective information Findability™, users cannot classify the majority of their information, which is stored in NTFS! ......
Classification Software
Despite widespread agreement on the criticality of classification for effective information Findability™, users cannot classify the majority of their information, which is stored in NTFS! The conventional approach requires ......
Classification Solutions
Despite widespread agreement on the criticality of classification for effective information Findability™, conventional solutions result in a limited and poor classification in terms of inconsistent, inaccurate and outdated ......
Metadata Management
Conventional solutions unfortunately leave organizations with unmanageable metadata management solutions. Metadata model management is limited to individual silos such as content stores, SharePoint sites, ......
Metadata Modeling
Conventional solutions unfortunately leave organizations with unmanageable metadata models. Metadata models are limited to individual silos such as content stores, ......
Schemalogic
Compared to conventional providers of pure metadata management solutions such as Schemalogic and other players, iBox, in addition, has both ......
Taxonomy Management
Unmanageable. That’s a good description of conventional tools and models for ontology and taxonomy. But iBox is different – it makes everything manageable. Conventional tools develop and apply individual ontology ......
Taxonomy solutions
Unmanageable. That’s a good description of conventional tools and models for ontology and taxonomy. But iBox is different – it makes everything manageable. Conventional tools develop and apply ......