The cloud was designed to make our working lives easier. Accessible from anywhere and at anytime, configurable through a standard web browser, and consumable using any device. Yet the consumerization of content has yielded other complexities; infinitely growing data repositories of uncategorized data that one could argue requires a data scientist to interpret and communicate the information footprint of a large enterprise. While our information is easier to access, finding the right information is the new challenge.
Search is the obvious answer, but even the relevance of a search index is only as good as the way in which the content has been classified. Large public clouds like Dropbox and OneDrive haven’t provided intuitive tools which allow users to create content taxonomies in which they can tag and associate their content in meaningful ways. The ability to not only create relationships between content, but enable anyone to understand the context and relevancy of a document to the task they’re trying to solve is now paramount.
There are a myriad of reports on lost time that the average information worker spends looking for documents. When documents are the lifeblood of most organizations, the time spent wandering aimlessly across irrelevant folders of content quickly adds up. Over the course of a year, and for the average medium sized organization, this loosely translates into weeks of time that nobody did anything worthwhile.
Documattic aims to solve this classification challenge through providing simple tools that allow document authors to quickly tag their documents using pre-defined tags, or by simply creating their own. Free-text entry of words allows authors to associate categories and allow the grouping of documents into associated collections. Clicking on a tag with Documattic will aggregate all documents associated with that tag and present them in a single view. Now documents not only have structure (through their location within a folder hierarchy), they can now possess contextual relevancy through the tags that have been associated to them.