Document Management System – Search Features
Document Management System Saves Time and Money on Search
Cloud document management systems simplify search for all types of documents, saving your organization time and money. Once documents are added to SpringCM, they become searchable based on their text, title, attribute fields (metadata) and even the person who placed them into the system. This design empowers the user to locate and manage the exact document or piece of content they need in moments.
Users primarily utilize the document management system search from within SpringCM. But by utilizing SpringCM Web services, or simply by placing a small login box onto your Web site, you can apply search directly from within your Web site or portal, instantly creating a secure document extranet for customers, partners, vendors and team members.
Basic Search
SpringCM’s basic search option inspects all the terms associated with a document – its content, title, attributes and keywords.
Advanced Search
Advanced search queries allow users to refine their search to any desired granular level, returning only the best matches and saving time and effort in retrieval. Users can search by any combination of the following criteria:
- specific folders
- phrases that include or exclude certain words
- date
- keywords
- file types
- values of specific attributes
- where or who it came from
Cross–System Search
Information stored in systems of record (like ERP or CRM programs) is crucial to finding the documents you need. That’s why a document management system like SpringCM enables you to include criteria stored in other systems for the most efficient search results possible.
Search Results
To enhance the speed of document management, SpringCM's search tool uses relevancy scores that sorts documents and content in the search results.
The hit count, another key indicator of document management relevancy, displays how many times the search term actually appears in the content of the document listed. In–house SpringCM administrators can adjust the search algorithm based on what is important to them, by increasing or decreasing the weighting given to different elements of searches such as metadata, content, keywords, owner and title.
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